Awesome-Visual-Transformer
Visit ToolAwesome-Visual-Transformer is an open-source research tool that collects papers about transformers with computer vision. It serves as a curated resource for researchers and practitioners.
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Awesome-Visual-Transformer is an open-source research tool that collects papers about transformers with computer vision. It serves as a curated resource for researchers and practitioners.
Trending
About
Awesome-Visual-Transformer is a comprehensive, open-source repository dedicated to collecting and organizing academic papers focused on the application of transformers in computer vision (CV). This tool serves as an invaluable resource for researchers, academics, and practitioners looking to stay updated on the latest advancements in this rapidly evolving field. The collection includes original transformer papers, surveys, and numerous arXiv preprints covering diverse topics such as 3D semantic segmentation, object detection, image generation, medical image synthesis, and video processing. Users can easily browse papers, often with links to associated code, making it a practical resource for both theoretical understanding and implementation. The repository encourages community contributions through issues and pull requests, fostering a collaborative environment for knowledge sharing.
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