Papers with Code 아카이브
RGB Salient Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 13
- 보존된 평가 기록
- 159
RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.
<span style="color:grey; opacity: 0.6">( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yuhuan-wu/mobilesal
https://github.com/yukichou/PET
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/yumaloop/kaggle-tgs-salt-competition
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zamnius/uNet-seg-decathlon
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zampie/Animation-standing-segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zampie/unet-colorization-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zarif101/blood_cell_segmentation_unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zh320/medical-segmentation-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zh320/realtime-semantic-segmentation-pytorch
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/zhangxiaoning666/PAGR
https://github.com/zhangzjn/emo
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/zhangzjn/emov2
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/zhiggins11/Semantic-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhimingluo/NLDF
https://github.com/zhixuhao/unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhugoldman/CNN-segmentation-for-Lung-cancer-OARs
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhuhongwei1999/bsa-net
https://github.com/zxleong/GPRNet
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/zyning/signalSeparation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zzhanghub/bianet
Bilateral Attention Network for RGB-D Salient Object Detection
https://github.com/zzhanghub/gicd
https://gitlab.com/birder/birder
https://gitlab.com/casi-project/casi-2d
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://gitlab.com/matzkin/deep-brain-extractor
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://gitlab.com/matzkin/headctools
U-Net: Convolutional Networks for Biomedical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.