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Research Areas in Computer Vision: Trends and Challenges - OpenCV Computer Vision (CV) is a field of artificial intelligence that trains computers to interpret and understand the visual world Using digital images from cameras and videos, along with deep learning models, computers can accurately identify and classify objects, and then react to what they “see ”
Deep learning in computer vision: A critical review of emerging . . . Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video speech recognition In this paper, our focus is on CV We provide a critical review of recent achievements in terms of techniques and applications
Computer Vision - Papers With Code Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets Read previous issues
Computer Vision - Microsoft Research Enabling computers and devices to understand what they see This form will update the search results and the form fields automatically when input state is changed or when the form is submitted Currently selected items and filters are under the "current selections" heading and can be clicked to remove them from filtering
Computer vision - Wikipedia Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos
Computer Vision | Research - NVIDIA Improving Robustness to Tracking Errors with Affinity-Based Prediction IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora… When to Prune? A Policy towards Early Structural Pruning AIABI-2021 Italian Workshop on Artificial Intelligence and Applications for Bus…
Computer Vision - IBM Research Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see At IBM Research, we’re designing AI systems with the ability to see the world like we do