Attention please

이번에 리뷰할 논문은 Momentum Contrast for Unsupervised Visual Representation Learning 입니다. https://paperswithcode.com/paper/momentum-contrast-for-unsupervised-visual Papers with Code - Momentum Contrast for Unsupervised Visual Representation Learning #11 best model for Contrastive Learning on imagenet-1k (ImageNet Top-1 Accuracy metric) paperswithcode.com 본 포스팅을 이해하기 위해서는 "contrast learning" 의 기본적인 이해가 ..

이번에 리뷰할 논문은 FCN-Transformer Feature Fusion for Polyp Segmentation 입니다. https://paperswithcode.com/paper/fcn-transformer-feature-fusion-for-polyp Papers with Code - FCN-Transformer Feature Fusion for Polyp Segmentation #5 best model for Medical Image Segmentation on Kvasir-SEG (mean Dice metric) paperswithcode.com 본 논문에서 제안하는 FCBFormer모델은 대장 내시경(Colonoscopy) 영상의 대장암(colorectal cancer) 부분의 영역을 검출하..

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 ..