Transcription of IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, MARCH 20201 Deep high -Resolution Representation Learningfor Visual RecognitionJingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu,Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin XiaoAbstract high -resolution representations are essential for position-sensitive vision problems, such as human pose estimation,semantic segmentation, and object detection. Existing state-of-the-art frameworks first encode the input image as a low-resolutionrepresentation through a subnetwork that is formed by connecting high -to-low resolution convolutionsin series( , ResNet,VGGNet), and then recover the high -resolution representation from the encoded low-resolution representation.
The strength is that DCNNs are able to learn richer repre- ... High-resolution representations are needed for position-sensitive tasks, e.g., semantic segmentation, human pose ... network [114], introduces an extra full-resolution stream that carries information at the full image resolution, to …
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