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Semantic object segmentation via detection in weakly labeled video
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Semantic object segmentation in video is an important step for large-scale multimedia analysis. In many cases, however, semantic objects are only tagged at video-level, making them difficult to be located and segmented. To address this problem, this paper proposes an approach to segment semantic objects in weakly labeled video via object detection. In our approach, a novel video segmentationby-detection framework is proposed, which first incorporates object and region detectors pre-trained on
doi:10.1109/cvpr.2015.7298987
dblp:conf/cvpr/ZhangCLWX15
fatcat:65bkleamgza3hah5m5ujdq5dsm