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Weakly-Supervised Semantic Segmentation

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전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 10
보존된 평가 기록: 182

The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image.

<span style="color:grey; opacity: 0.6">( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )</span>

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

PASCAL VOC 2012 val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 73건

PASCAL VOC 2012 test

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 60건

COCO 2014 val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 39건

PASCAL VOC 2012 train

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 4건

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원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

ADE20K val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

Cityscapes test

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

Cityscapes val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

COCO-Stuff val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

PASCAL Context val

원본 태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation

평가 기록 1건

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