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Found 5 papers, 4 papers with code
Deep Learning Technique for Human Parsing: A Survey and Outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts.
UV R-CNN: Stable and Efficient Dense Human Pose Estimation
Dense pose estimation is a dense 3D prediction task for instance-level human analysis, aiming to map human pixels from an RGB image to a 3D surface of the human body.
TIVE: A Toolbox for Identifying Video Instance Segmentation Errors
More importantly, as the fundamental model abilities demanded by the task, spatial segmentation and temporal association are still understudied in both evaluation and interaction mechanisms.
Quality-Aware Network for Face Parsing
This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously.
