Shypd.aiThe largest open index of AI toolsTransformer-in-Computer-Vision is a research and education tool that curates a list of recent Transformer-based computer vision papers. It provides links to papers and code implementations, offering a valuable resource for researchers and academics.
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Transformer-in-Computer-Vision is a comprehensive and regularly updated paper list focusing on recent Transformer-based works in the field of Computer Vision. This GitHub repository serves as a valuable resource for researchers, academics, and students interested in the latest advancements in this rapidly evolving area. The list is meticulously organized by various computer vision tasks, including classification, detection, segmentation, generative models, and more, making it easy to navigate and find relevant papers. Each entry, where available, includes links to the paper and its corresponding code implementation. Users are encouraged to contribute by opening issues or pull requests for any overlooked papers, fostering a collaborative environment for knowledge sharing in the CV community.
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