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
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Learning Semantic Neural Tree for Human Parsing—0
Clothing and People - A Social Signal Processing Perspective—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
The Active-Filler Strategy in a Move-Eager Left-Corner Minimalist Grammar Parser—0
Towards Multi-pose Guided Virtual Try-on Network—0
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Clicking Matters:Towards Interactive Human Parsing—0
CIParsing: Unifying Causality Properties into Multiple Human Parsing—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