Deep Learning

Learning Object Detectors with Semi-Annotated Weak Labels
For alleviating the human labor associated with annotating the training data for learning object detectors, recent research has focused …
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Revisiting anchor mechanisms for temporal action localization
Most of the current action localization methods follow an anchor-based pipeline depicting action instances by pre-defined anchors, …
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Revisiting anchor mechanisms for temporal action localization
Most of the current action localization methods follow an anchor-based pipeline depicting action instances by pre-defined anchors, …
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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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Reinforcement cutting-agent learning for video object segmentation
Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem …
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PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos
Motion of the human body is the critical cue for understanding and characterizing human behavior in videos. Most existing approaches …
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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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