Awesome Visual Transformer
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
What is Awesome Visual Transformer?
Awesome Visual-Transformer is a curated GitHub repository that collects and organizes academic papers, surveys, and blogs related to Transformer models applied to computer vision. It addresses the challenge of keeping up with the fast-paced research in Vision Transformers by providing a centralized, community-updated resource. The repository spans foundational works, novel architectures, and applications across tasks like image recognition, object detection, and medical imaging.
AI researchers, computer vision practitioners, graduate students, and engineers who need a structured overview of Vision Transformer literature to inform their work or stay current with advancements.
It saves significant time in literature review by aggregating a vast number of relevant papers in one place, often with direct links to code and preprints. Unlike generic paper lists, it is specifically focused on the intersection of Transformers and vision, and is actively maintained by the community for completeness.
Overview
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Use Cases
Best For
- Researchers conducting a literature review on Vision Transformers
Related Projects
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