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목록SRA (2)
Attention please
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/dpYMYz/btspomjANh7/x3xXJGwki1WmKbxM4ROl1K/img.png)
이번에 리뷰할 논문은 PVT v2: Improved Baselines with Pyramid Vision Transformer 입니다. https://paperswithcode.com/paper/pvtv2-improved-baselines-with-pyramid-vision Papers with Code - PVT v2: Improved Baselines with Pyramid Vision Transformer #24 best model for Object Detection on COCO-O (Average mAP metric) paperswithcode.com self-attention을 기반으로 하는 transformer를 computer vision에 적용하려는 연구들이 이어졌으며, 가장 대표적으로..
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/XTvrn/btsplaYCfG1/szUi95kI1iTIgTU4kSesw1/img.png)
이번에 리뷰할 논문은 Pyramid Vision Transformer 입니다. https://paperswithcode.com/method/pvt Papers with Code - PVT Explained PVT, or Pyramid Vision Transformer, is a type of vision transformer that utilizes a pyramid structure to make it an effective backbone for dense prediction tasks. Specifically it allows for more fine-grained inputs (4 x 4 pixels per patch) to be used, whil paperswithcode.com CNN 기반 ..