Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

The demo of “Adaptive Temporal Encoding Network for Video Instance-level Human Parsing” show some results on test set of VIP dataset(http://www.sysu-hcp.net/lip/video_parsing.php). Video instance-level human parsing is the task to not only segment various body parts or clothes but also associate each part with one instance for every frame in the video, which is challenging but with broad application prospects.

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