cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
This list helps researchers and practitioners in computer vision keep up with the latest advancements in Vision Transformers and Attention mechanisms. It compiles academic papers, associated code, and relevant websites, making it easier to discover new techniques for tasks like image classification, object detection, segmentation, and video analysis. Anyone working on visual AI projects, from academic researchers to engineers developing vision systems, would find this valuable for staying current and finding implementations.
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Use this if you are a computer vision researcher or practitioner needing a single, up-to-date resource to track and explore academic papers, code, and resources related to Vision Transformers and Attention mechanisms.
Not ideal if you are looking for a tutorial or an introductory guide to the basics of Vision Transformers or Attention.
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