awesome-visual-representation-learning-with-transformers and Awesome-Transformer-Attention
These two tools are competitors, as both aim to provide comprehensive lists of papers, code, and websites related to Vision Transformers and attention mechanisms in computer vision.
About awesome-visual-representation-learning-with-transformers
alohays/awesome-visual-representation-learning-with-transformers
Awesome Transformers (self-attention) in Computer Vision
This resource is a curated list of research papers and implementations focused on using Transformer models for various computer vision tasks. It's designed for researchers and practitioners in fields like image analysis, robotics, or autonomous systems who are exploring advanced methods for processing visual data. You can find information on how to use these models for tasks like image classification, object detection, video analysis, and even generating images.
About Awesome-Transformer-Attention
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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