weakly supervised

Equivalent classification mapping for weakly supervised temporal action localization
Weakly supervised temporal action localization is a newly emerging yet widely studied topic in recent years. The existing methods can …
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Strengthen Learning Tolerance for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims at learning to localize objects of interest by only using the image-level labels as …
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Segmentation in weakly labeled videos via a semantic ranking and optical warping network.
Weakly supervised video object segmentation (WSVOS) focuses on generating pixel-level object masks for videos only tagged with class …
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Background-click supervision for temporal action localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a …
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Spftn: A self-paced fine-tuning network for segmenting objects in weakly labelled videos
Object segmentation in weakly labelled videos is an interesting yet challenging task, which aims at learning to perform …
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