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Learning with coarse labels
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Learning fine-grained representation with coarsely-labelled dataset, which can significantly reduce the labelling cost. As a simple example, for the task of differentiation between different pets, we need a knowledgeable cat lover to distinguish between ‘British short’ and ‘Siamese’, but even a child annotator may help to discriminate between ‘cat’ and ‘non-cat’.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
Fine-grained Angular Contrastive Learning with Coarse Labels
Grafit: Learning fine-grained image representations with coarse labels
Weakly Supervised Representation Learning with Coarse Labels
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