Human Part Segmentation
14 papers with code • 6 benchmarks • 9 datasets
Benchmarks
These leaderboards are used to track progress in Human Part Segmentation
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Datasets
Human3.6M
PASCAL-Part
CIHP
MHP
Pascal Panoptic Parts
Cityscapes Panoptic Parts
TikTok Dataset
VESSEL12
CCIHP
Most implemented papers
Instance-level Human Parsing via Part Grouping Network
Engineering-Course/CIHP_PGN
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ECCV 2018
Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass.
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
The toolkit aims to help both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models.
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
Human densepose estimation, aiming at establishing dense correspondences between 2D pixels of human body and 3D human body template, is a key technique in enabling machines to have an understanding of people in images.
UniHCP: A Unified Model for Human-Centric Perceptions
opengvlab/unihcp
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CVPR 2023
When adapted to a specific task, UniHCP achieves new SOTAs on a wide range of human-centric tasks, e. g., 69. 8 mIoU on CIHP for human parsing, 86. 18 mA on PA-100K for attribute prediction, 90. 3 mAP on Market1501 for ReID, and 85. 8 JI on CrowdHuman for pedestrian detection, performing better than specialized models tailored for each task.
