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Memory Based Video Scene Parsing

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arxiv 2109.00373 v1 pith:TKLDTP35 submitted 2021-09-01 cs.CV

Zhenchao Jin , Dongdong Yu , Kai Su , Zehuan Yuan , Changhu Wang This is my paper · ORCID
classification cs.CV
keywords videoparsingscenesemantictaskaccuracyachievesadopt
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Video scene parsing is a long-standing challenging task in computer vision, aiming to assign pre-defined semantic labels to pixels of all frames in a given video. Compared with image semantic segmentation, this task pays more attention on studying how to adopt the temporal information to obtain higher predictive accuracy. In this report, we introduce our solution for the 1st Video Scene Parsing in the Wild Challenge, which achieves a mIoU of 57.44 and obtained the 2nd place (our team name is CharlesBLWX).

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