--- title: Vision Transformers (ViTs) description: Vision transformers (ViTs) revolutionize image analysis by capturing global context, making them ideal for complex visual tasks image: https://www.xenonstack.com/hubfs/vision-transformers.png --- - [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - - Foundry Foundry Unified reasoning foundation enabling seamless orchestration, analytics, infrastructure, and trust across intelligent ecosystems [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/our-purpose-line-icon.svg) Akira AI - Reasoning and Agent Orchestration Turn models into collaborative, policy-governed agents that learn and act together](https://www.xenonstack.com/agentic-platforms/akira-ai/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/autonomous-operations-icon.svg) ElixirData - Agentic Analytics Intelligence Explainable, decision-centric analytics for measurable business outcomes](https://www.xenonstack.com/agentic-platforms/elixirdata/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/digital-immune-system-icon.svg) NexaStack - 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AI Agents AI Agents Pre-built autonomous agents designed for domain-specific intelligence, seamless integrations, and governed enterprise deployment By Domain [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) Agentic Operations AgentSRE and AgentOps for automated reliability and IT operations](https://www.xenonstack.com/ai-agents/agentic-operations/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Agentic Finance FinOps Agent and Budget Enforcer for optimized financial governance](https://www.xenonstack.com/ai-agents/agentic-finance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/case-study-icon.svg) Agentic Risk and Compliance Audit Agent and Risk Assurance to automate compliance monitoring](https://www.xenonstack.com/ai-agents/agentic-risk-compliance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) Agentic Analytics Analyst Agent and Decision Advisor for AI-driven insights and strategy](https://www.xenonstack.com/ai-agents/agentic-analytics/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/developer-experience-icon.svg) Agentic Supply Chain AI-powered advisor for smart sourcing, vendor insights, and strategic procurement](https://www.xenonstack.com/ai-agents/agentic-procurement/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-serverless-application-development.svg) Agentic Security AI-driven defense delivering proactive threat detection and autonomous security orchestration](https://www.xenonstack.com/ai-agents/agentic-security/) By Integration [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) Snowflake AI Agents Pre-built connectors for real-time data intelligence on Snowflake](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-migration.svg) Databricks AI Agents AI agents for automated data workflows and insights on Databricks](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-application-modernization.svg) ServiceNow AI Agents AI workflows to streamline service, incident, and operations automation](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devsecops.svg) Jira/Project Management Agents AI agents for backlog grooming, sprint planning, and real-time project visibility](https://www.xenonstack.com/ai-agents/jira-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) SAP AI Agents AI copilots for finance, supply chain, and HR decisions across your SAP landscape](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-hr-and-recruitment.svg) Oracle AI Agents AI agents for financials, risk, and operations intelligence across Oracle applications](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) - Solutions Solutions Governed AI solutions driving measurable business outcomes across operations, finance, security, and analytics [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devops.svg) ReliabilityOps — Cloud Reliability Automation Automate reliability checks and optimize uptime with continuous reasoning](https://www.xenonstack.com/ai-agents/cloudops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-kubernetes.svg) IncidentOps — AI-Driven Site Reliability Resolve incidents faster with AI-led triage, contextual RCA, and adaptive recovery](https://www.xenonstack.com/ai-agents/sre-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-custom-software-development.svg) PlatformOps — Unified Platform Automation Unify infrastructure and AI systems with reasoning-driven automation and compliance](https://www.xenonstack.com/ai-agents/platformops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-customer-analytics.svg) DefenseOps — Autonomous Threat Defense Detect, analyze, and neutralize threats autonomously with adaptive defense intelligence](https://www.xenonstack.com/ai-agents/responsible-ai-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-business-intelligence.svg) TrustOps — Responsible AI and Continuous Governance Ensure transparency, fairness, and compliance in every AI system and decision](https://www.xenonstack.com/ai-agents/secops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-manufacturing.svg) RiskOps — Predictive Risk Intelligence Predict, score, and mitigate risks proactively with real-time assurance intelligence](https://www.xenonstack.com/ai-agents/risk-management-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-explainable-ai.svg) FactoryOps — AI-Driven Industrial Automation Predict equipment failures and optimize production with adaptive intelligence](https://www.xenonstack.com/ai-agents/industrial-automation-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) AssetOps — Automated Asset Reliability Enable predictive maintenance and optimize lifecycle performance continuously](https://www.xenonstack.com/ai-agents/asset-operations-and-maintenance-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-infrastructure%20.svg) QualityOps — Continuous Testing Intelligence Accelerate testing cycles with autonomous validation and reasoning feedback](https://www.xenonstack.com/ai-agents/qaops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-insurance.svg) SourcingOps — Intelligent Procurement Automate sourcing, vendor analysis, and spend insights for agile procurement](https://www.xenonstack.com/ai-agents/procurement-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-augmented-data-management.svg) DataOps — Autonomous Data Pipeline Governance Ensure reliability, detect anomalies, and self-heal data pipelines automatically](https://www.xenonstack.com/ai-agents/dataops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) DecisionOps — Intelligent Decisioning Deliver explainable, auditable, and measurable outcomes with reasoning AI](https://www.xenonstack.com/ai-agents/desicison-reimagined/) - Industries Industries Industry blueprints showcasing agentic transformation, real-world impact, and measurable outcomes across key sectors [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-computer-vision.svg) Aerospace and Defense Autonomous flight systems and predictive maintenance powered by AI](https://www.xenonstack.com/industries/aerospace/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Banking - Finance - Payments AI governance for secure, compliant, and adaptive financial operations](https://www.xenonstack.com/industries/banking/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-retail.svg) Manufacturing and Industrial Automation Smart factories using reasoning systems for real-time quality optimization](https://www.xenonstack.com/industries/digital-manufacturing-services/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-infrastrcuture.svg) Enterprise - IT Operations AI-powered IT operations ensuring reliability, scalability, and cost efficiency](https://www.xenonstack.com/industries/enterprise-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-clients-and-partners.svg) Consumer – Experience – Tech Personalized digital experiences driven by explainable and trusted AI](https://www.xenonstack.com/industries/consumer-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-platform-engineering.svg) Retail and Supply Chain Autonomous retail analytics enhancing operations, engagement, and forecasting accuracy](https://www.xenonstack.com/industries/retail/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-healthcare.svg) Travel – Hospitality – Guest Experience Agentic systems delivering personalized guest journeys with contextual intelligence](https://www.xenonstack.com/industries/travel-hospitality/) - Resources Resources Explore insights, success stories, and learning programs that build knowledge and strengthen the AI transformation journey [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-xenonstack-university.svg) Blogs Stay updated with the latest industry trends, news, and thought leadership](https://www.xenonstack.com/blog) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/insights.svg) Insights Explore in-depth AI articles, use cases, and innovative applications](https://www.xenonstack.com/insights) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/use-case.svg) Use Cases Discover real-world applications of Agentic AI across industries](https://www.xenonstack.com/use-cases) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/scale-cloud-native-applications.svg) Case Studies Learn how organizations are achieving success with our solutions](https://xenonstack.com/case-studies) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/video.svg) Video Library Explore our collection of product demos, webinars, and AI thought leadership videos](https://www.xenonstack.com/videos/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ebook.svg) E-Books Download comprehensive e-books on AI, SRE, and more](https://www.xenonstack.com/e-book) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/presentation.svg) Presentations View our AI presentations, talks, and conference sessions on AI innovation](https://www.xenonstack.com/presentations/) - 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Book Strategy Call ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Interested in Solving your Challenges with XenonStack Team ## Get Started Get Started with your requirements and primary focus, that will help us to make your solution First Name \* Please enter a valid First Name Last Name \* Please enter a valid Last Name Business Email ID \* Please enter a valid Business Email ID Contact Number \* Please enter a valid Contact Number Company \* Please enter a valid Company Name Industry Belongs To \* Please Select your Industry Banking Fintech Payment Providers Wealth Management Discrete Manufacturing Semiconductor Machinery Manufacturing / Automation Appliances / Electrical / Electronics Elevator Manufacturing Defense & Space Manufacturing Computers & Electronics / Industrial Machinery Motor Vehicle Manufacturing Food and Beverages Distillery & Wines Beverages Shipping Logistics Mobility (EV / Public Transport) Energy & Utilities Hospitality Digital Gaming Platforms SportsTech with AI Public Safety - 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Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business. ![usecase-banner (1)](https://www.xenonstack.com/hs-fs/hubfs/usecase-banner%20(1).webp?width=1921&height=622&name=usecase-banner%20(1).webp) [XAI](https://www.xenonstack.com/blog/tag/xai) # Vision Transformers (ViTs) [Dr. Jagreet Kaur](https://www.xenonstack.com/blog/author/dr-jagreet-kaur) | 03 October 2024 Vision Transformers (ViTs) 9:43 The field of [Computer Vision](https://www.xenonstack.com/artificial-intelligence/computer-vision/) has seen significant advancements over the years, with [Convolutional Neural Networks (CNNs)](https://www.xenonstack.com/blog/convolutional-neural-network) being the go-to architecture for most image-based tasks. However, a newer architecture known as Vision Transformers (ViTs) has been making waves in the [deep learning](https://www.xenonstack.com/insights/deep-learning-applications) community, offering an alternative to CNNs. In this blog, we’ll explore how ViTs compare with CNNs, their applications in image classification and segmentation, and their performance benchmarks.  ## Vision Transformers (ViTs) vs Convolutional Neural Networks (CNNs) ### Architecture - **CNNs**: CNNs are based on convolutional layers that apply filters to small sections of an image. These layers capture spatial hierarchies (local-to-global features) by progressively combining features from smaller patches to form the entire image. This is why CNNs are highly efficient at extracting local patterns like edges, textures, and shapes. ![Architecture of basic cnn](https://www.xenonstack.com/hs-fs/hubfs/architecture-of-basic-cnn.jpg?width=2560&height=1440&name=architecture-of-basic-cnn.jpg) **Fig 1.0: Architecture of a basic CNN**  - **ViTs**: Vision Transformers are based on the Transformer architecture, originally designed for [Natural Language Processing (NLP](https://www.xenonstack.com/blog/natural-language-processing)[)](https://www.xenonstack.com/blog/natural-language-processing). ViTs divide an image into fixed-size patches and treat each patch as a token, similar to words in NLP tasks. The patches are then passed through transformer layers where self-attention mechanisms enable long-range dependencies across the entire image. ![ViT architecture](https://www.xenonstack.com/hs-fs/hubfs/vit-architecture.jpg?width=2560&height=1440&name=vit-architecture.jpg) **Fig 2.0: ViT Architecture**  ### Strengths and Limitations - CNNs are particularly good at dealing with imagery data because they can compute the local dependencies fast and efficiently. Yet, they are disadvantaged at long-range dependencies because of the localized aspects of convolution operations. - Self-attention mechanisms make ViTs ride the benefits of visual understanding of long-range dependencies from the get-go. This makes their approach afford them a great advantage in interpreting context in images at the global level. Nevertheless, ViTs have higher accuracy compared to CNNs only in many cases, need a large amount of labeled data as well and are more computationally expensive. ### Training Efficiency - Generally, CNN enjoys much shorter learning time. The good thing about convolutions is that they capture local patterns with a small number of parameters. - However, ViTs are data hungry, require large (e.g., ImageNet) training data, and perform the best. For optimal results, pretraining from a massive dataset is often required before fine-tuning from a smaller dataset. > AI-based Video Analytics's primary goal is to detect temporal and spatial events in videos automatically. Click to explore our, [AI-based Video Analytics](https://www.xenonstack.com/blog/real-time-video-analytics) ### Applications of Vision Transformers (ViTs) ### Image Classification ViTs have demonstrated strong performance in image classification tasks, competing with or even surpassing CNNs in some benchmarks. They excel at learning from large datasets and can capture complex patterns that require global context.  - **Example Application**: ViTs can be used in [Medical Image Analysis](https://www.xenonstack.com/blog/image-analysis-using-computer-vision), where understanding the global context of an image is crucial. For instance, in radiology, a ViT can examine an X-ray or MRI scan to detect anomalies that may not be localized to a specific region. ### Image Segmentation Segmentation tasks benefit greatly from ViTs’ ability to process global information. Unlike CNNs, which may struggle with understanding large-scale structures in an image, ViTs can more easily learn long-range spatial relationships, which is critical for precise object segmentation.  - **Example Application**: In autonomous driving, ViTs can assist in segmenting road scenes, identifying lanes, pedestrians, and obstacles. The self-attention mechanism in ViTs allows the model to grasp the entire scene, enabling better segmentation decisions in complex environments. ### Object Detection ViTs are increasingly being adapted for object detection tasks, where they can outperform traditional CNN-based models in scenarios where context is crucial. For instance, detecting small objects or objects that are spatially far apart can benefit from ViTs' ability to capture long-range dependencies.  - **Example Application**: [Surveillance systems](https://www.xenonstack.com/blog/video-surveillance) using ViTs can track and detect objects across wide camera angles, ensuring that even objects far from the center of the frame are recognized with precision. ![ViT in object detection](https://www.xenonstack.com/hs-fs/hubfs/vit-in-object-detection.jpg?width=2560&height=1440&name=vit-in-object-detection.jpg) **Fig 3.0: ViT in Object Detection**  ## Performance Benchmarks of ViTs ### ImageNet Benchmark ViTs have been tested on the ImageNet dataset, one of the most widely used datasets for image classification. Initially, ViTs struggled to match CNNs when trained on small datasets. However, when pretrained on larger datasets and fine-tuned, ViTs outperformed CNNs like ResNet and EfficientNet in terms of accuracy.  - **CNNs**: ResNet-50 achieves about **76% accuracy** on ImageNet. - **ViTs**: ViT-Large, pretrained on **JFT-300M**, achieves over **88%** **accuracy** on ImageNet. ### Computational Complexity One of the challenges with ViTs is their high computational cost. While CNNs like ResNet and MobileNet are optimized for lower compute environments, ViTs require more resources, especially for large-scale image processing tasks.  - **CNNs**: EfficientNet-B7 offers a strong balance between accuracy and computational efficiency. - **ViTs**: The larger ViT models require more compute and memory, making them less suitable for edge devices but extremely powerful when used in server environments with ample computational resources. ### Training Time ViTs require longer training times due to their high parameter count and need for larger datasets. However, once trained, they can generalize well to new tasks with minimal fine-tuning, especially in transfer learning scenarios.  > Face Recognition uses Computer Algorithms to identify specific features of a person's face. Click to learn more about our [Face Recognition and Detection](https://www.xenonstack.com/use-cases/face-detection-recognition) solutions ## Future Prospects of Vision Transformers (ViTs) The **development of Vision Transformers (ViTs)** represents a significant breakthrough in computer vision, offering new opportunities that could reshape how we approach visual tasks. As these models evolve, their future potential spans various fields and applications:  ### Efficiency and Accessibility - **Current Challenges**: One of the main challenges of ViTs is their demand for large datasets and computational resources. However, ongoing research focuses on improving the efficiency of Vision Transformers, making them lighter and more accessible for broader use. - **Future Optimizations**: With improvements in model optimization, ViTs can become more practical for a wider range of industries, even those with limited resources. These optimizations will likely make ViTs a strong competitor to CNNs in both low-power and high-performance applications. ### Broader Application Domains As ViTs become more efficient, they are expected to outperform CNNs in a variety of new applications beyond traditional tasks like image classification. Some areas where ViTs will likely expand include:  - **Image Synthesis**: For tasks in which new images need to be generated from scratch, ViTs could make a huge difference, such as generating photorealistic images, deep fake generation, or generative art. - **Video Processing**: Video tasks require understanding complex temporal dynamics, and ViTs’ ability to capture long-range dependencies makes them well-suited for video analysis, object tracking, and action recognition in dynamic scenes. - **Multimodal Learning**: ViTs can be combined with models handling other data types (e.g., text) to perform multimodal learning. For instance, by combining ViTs with NLP models, such as language models, for predicting the desired text present in an image, one can combine the strengths of both tasks for image capturing, captioning, question answering, and so on. ## Potential in Complex Vision Tasks ViTs excel at learning long-range dependencies, giving them an edge over CNNs in tasks where understanding the global context is crucial. Their ability to analyze and interpret complex spatial relationships in images makes them particularly promising for:  ![brain-imaging (1)](https://www.xenonstack.com/hs-fs/hubfs/brain-imaging%20(1).png?width=512&height=512&name=brain-imaging%20(1).png) ### Medical Imaging ViTs are useful for analyzing complex medical scans, where understanding the global context is critical for diagnosing diseases or detecting patterns that cover extensive regions of an image ![systems](https://www.xenonstack.com/hs-fs/hubfs/systems.png?width=512&height=512&name=systems.png) ### Autonomous Systems ViTs will be able to understand wide ranging visual environments in fields such as autonomy driving, detecting obstacles, lane markings and pedestrians accurately even in challenging situations ## Revolutionizing Vision-Language Models ViTs have one of the most exciting potential uses because they promise a new generation of vision language models. With multimodal learning becoming increasingly popular, ViTs can be combined with [BERT or GPT](https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai) for the task of visual understanding combined with text reading. ### This is key for: ![interactional-dialogue](https://www.xenonstack.com/hs-fs/hubfs/interactional-dialogue.png?width=512&height=512&name=interactional-dialogue.png) ### Interactive AI Systems that can both see and communicate, such as AI personal assistants that understand images and text together, or smart robots that can interpret visual environments and respond to verbal commands ![virtual-tour](https://www.xenonstack.com/hs-fs/hubfs/virtual-tour.png?width=512&height=512&name=virtual-tour.png) ### AR & VR Vision Transformers (ViTs) excel in understanding complex visual scenes and processing language, making them perfect for AR and VR applications where users engage with both visual and verbal information seamlessly ## Conclusion Vision Transformers (ViTs) represent a promising alternative to CNNs, especially in tasks requiring a deep understanding of global context. While they are computationally expensive and data-hungry, their superior performance in certain benchmarks highlights their potential to become the next dominant architecture in computer vision. As more efficient variants are developed and training techniques improve, ViTs will likely play an increasingly central role in image classification, segmentation, and beyond. > - Read more about [Computer Vision on Edge and its Applications](https://www.xenonstack.com/blog/computer-vision-on-edge#:~:text=Computer%20vision%20on%20edge%20devices%20can%20be%20used%20in%20manufacturing,issues%20before%20products%20are%20shipped.) > - Explore more about [Computer Vision Services and Solution](https://www.xenonstack.com/artificial-intelligence/computer-vision/)   ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/vision-transformers%20&body=Check%20out%20https://www.xenonstack.com/blog/vision-transformers) ## Table of Contents ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/vision-transformers) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/vision-transformers%20&body=Check%20out%20https://www.xenonstack.com/blog/vision-transformers) ## Explore Related Topics [Decision Intelligence](https://www.xenonstack.com/blog/tag/decision-intelligence) [Cloud Native Applications](https://www.xenonstack.com/blog/tag/cloud-native-applications) [Generative AI](https://www.xenonstack.com/blog/tag/generative-ai) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) [FinOps](https://www.xenonstack.com/blog/tag/finops) [Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry) [XAI](https://www.xenonstack.com/blog/tag/xai) [Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents) [MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai) ![dr-jagreet-gill](https://www.xenonstack.com/hubfs/dr-jagreet-gill-author.svg) ## Dr. Jagreet Kaur Chief Research Officer and Head of AI and Quantum Dr. Jagreet Kaur specializing in Generative AI for synthetic data, Conversational AI, and Intelligent Document Processing. With a focus on responsible AI frameworks, compliance, and data governance, she drives innovation and transparency in AI implementation [Explore More by Dr. Jagreet Kaur ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/dr-jagreet-kaur-gill) ![Subscribe background](https://www.xenonstack.com/hubfs/blog-post-subscribe.svg) ## Subscribe to our Latest Technology Insights and Resources Subscribe Now ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Get the latest articles in your inbox Business Email ID \* Please enter a valid Business Email ID Company Name \* Please enter a valid Company Name Yes, I would like to receive the XenonStack newsletter as well as marketing emails regarding XenonStack products, services, and events. I can unsubscribe at any time. By registering, you confirm that you agree to the processing of your personal data by XenonStack as described in the Privacy Policy. Subscribe Now ## Related Articles ![Databricks-Powered Solutions for Smart City Computer Vision Projects](https://www.xenonstack.com/hs-fs/hubfs/use%20this-54%20%283%29.png?width=1200&height=675&name=use%20this-54%20%283%29.png) ### [Databricks-Powered Solutions for Smart City Computer Vision Projects](https://www.xenonstack.com/blog/databricks-solutions-smart-city-computer-vision) 10 March 2025 ![Video and Text Analysis for Media with Databricks Multi-Modal Agents](https://www.xenonstack.com/hs-fs/hubfs/video-text-analysis-databricks-multi-modal.png?width=1200&height=675&name=video-text-analysis-databricks-multi-modal.png) ### [Video and Text Analysis for Media with Databricks Multi-Modal Agents](https://www.xenonstack.com/blog/video-text-databricks-multi-modal-agents) 28 November 2025 ![How Databricks Accelerates Scalable Image and Video Analytics](https://www.xenonstack.com/hs-fs/hubfs/databricks-image-video-analytics.png?width=1200&height=675&name=databricks-image-video-analytics.png) ### [How Databricks Accelerates Scalable Image and Video Analytics](https://www.xenonstack.com/blog/image-video-analytics-databricks) 22 April 2025 ![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-new-logo-release.svg) XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance. 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Your infrastructure evolves into a self-healing environment - ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors - ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues - ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies [See in Action](https://agentanalyst.ai/) ![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg) ✕ ## Agentic GRC - Monitoring Risk and Compliance Controls AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready - ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS - ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits - ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations [Explore Agent GRC](https://agentgrc.ai/) ![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg) ✕ ## Agentic Finance and Procurement Intelligent Agents Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter - ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments - ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance - ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions [Optimize Finance & Procurement](https://www.xenonify.ai/) ![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Dr. Jagreet Kaur", "url" : "https://www.xenonstack.com/blog/author/dr-jagreet-kaur" }, "dateModified" : "2024-10-03T06:30:41.438Z", "datePublished" : "2024-10-03T06:26:01.000Z", "headline" : "Vision Transformers (ViTs)", "image" : [ "https://www.xenonstack.com/hubfs/vision-transformers.png" ], "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/vision-transformers", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "Xenonstack Inc" } } ``` ```json { "@context" : "http://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "USA", "addressLocality" : "Plano", "addressRegion" : "Texas", "postalCode" : "75024", "streetAddress" : "7700 Windrose Ave. " }, "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.", "email" : "business@xenonstack.com", "logo" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png", "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/vision-transformers", "@type" : "WebPage", "description" : "Vision transformers (ViTs) revolutionize image analysis by capturing global context, making them ideal for complex visual tasks" }, "name" : "XenonStack", "sameAs" : [ "https://www.facebook.com/XenonStack", "https://www.linkedin.com/company/xenonstack/", "https://www.youtube.com/c/XenonStackOfficial", "https://twitter.com/xenonstack" ], "telephone" : "", "url" : "https://www.xenonstack.com/" } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Dr. Jagreet Kaur" }, "dateModified" : "October 3, 2024, 6:30:41 AM", "datePublished" : "2024-10-03 06:26:01", "description" : "Vision transformers (ViTs) revolutionize image analysis by capturing global context, making them ideal for complex visual tasks", "headline" : "Vision Transformers (ViTs)", "image" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/vision-transformers.png" }, "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/vision-transformers", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "XenonStack" } } ```