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Human parsing, which decomposes a human centric image into several semantic labels, e.g., face, skin etc, is an active topic in recent years. Traditional human parsing methods are always conducted on a supervised setting, i.e., the pixel-wise labels are available during the training process, which require tedious human labeling efforts. In this paper, we propose a weakly supervised deep parsing method...
Recently, deep learning method has been attracting more and more researchers due to its great success in various computer vision tasks. Particularly, some researchers focus on the study of multimedia analysis by deep learning method, and the research tasks mainly include the following six aspects: classification, retrieval, segmentation, tracking, detection and recommendation. As far as we know, there...
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