Instance Segmentation

Robust Region Feature Synthesizer for Zero-Shot Object Detection
Zero-shot object detection aims at incorporating class semantic vectors to realize the detection of (both seen and) unseen classes …
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Scribble-Supervised Video Object Segmentation
Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily …
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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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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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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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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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