Yangzhangcst/Transformer-in-Computer-Vision

• highreadme#1

  Reposition README's opening to clearly state it's an 'awesome list'

  原因：

  当前

  Transformer-in-Vision
  A paper list of some recent Transformer-based CV works.

  复制粘贴的修复

  复制

  # Awesome Transformer-in-Vision: A Curated List of Recent Transformer-based CV Works
  This repository is an actively maintained awesome list, providing a comprehensive collection of recent research papers and their associated code (where available) on Transformer models applied to Computer Vision tasks.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with the text of a common open-source license like MIT or Apache-2.0, or clearly state the intended license(s) directly in the README.

  待办完成忽略
• mediumhomepage#3

  Add the repository URL to the 'Homepage' field in the About section

  原因：

  复制粘贴的修复

  复制

  https://github.com/Yangzhangcst/Transformer-in-Computer-Vision

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find a curated list of recent research papers on Transformers for computer vision?

  你：未被推荐
  AI 推荐顺序：

  1. Papers With Code
  2. arXiv
  3. Awesome-Vision-Transformer
  4. Google Scholar
  5. Distill.pub
  6. The Batch by DeepLearning.AI
  7. Import AI by Jack Clark
  8. CVPR
  9. ICCV
  10. ECCV
  11. NeurIPS
  12. ICML

  AI 推荐了 12 个替代方案，却始终没点名 Yangzhangcst/Transformer-in-Computer-Vision。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  I need an awesome list of deep learning papers applying transformer models to image tasks.

  你：未被推荐
  AI 推荐顺序：

  1. Vision Transformer (ViT)
  2. Swin Transformer
  3. DETR
  4. Masked Autoencoders (MAE)
  5. Perceiver IO
  6. U-Net Transformer (UNETR)
  7. Generative Pretraining from Pixels (DALLE)

  AI 推荐了 7 个替代方案，却始终没点名 Yangzhangcst/Transformer-in-Computer-Vision。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Yangzhangcst/Transformer-in-Computer-Vision?

  pass
  ⚠AI 未点名 Yangzhangcst/Transformer-in-Computer-Vision —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Yangzhangcst/Transformer-in-Computer-Vision in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Yangzhangcst/Transformer-in-Computer-Vision

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Yangzhangcst/Transformer-in-Computer-Vision solve, and who is the primary audience?

  pass
  ⚠AI 未点名 Yangzhangcst/Transformer-in-Computer-Vision —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？