SOTAVerified

Human Parsing

Human parsing is the task of segmenting a human image into different fine-grained semantic parts such as head, torso, arms and legs.

( Image credit: Multi-Human-Parsing (MHP) )

Papers

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Showing 71–80 of 125 papers

TitleStatusHype
Keypoint Based Weakly Supervised Human Parsing—0
Knowledge Integration Networks for Action Recognition—0
Learning Semantic Neural Tree for Human Parsing—0
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation—0
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing—0
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Part-Aware Context Network for Human Parsing—0
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns—0
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All datasets4D-DRESSPASCAL Context

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Graphonomy_InnermAcc0.97—Unverified
2CDGNet_InnermAcc0.92—Unverified
3Graphonomy_OutermAcc0.92—Unverified
4SCHP_InnermAcc0.91—Unverified
5CDGNet_OutermAcc0.89—Unverified
6SCHP_OutermAcc0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmIoU67.61—Unverified