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

Showing 111120 of 125 papers

TitleStatusHype
Look into Person: Joint Body Parsing & Pose Estimation Network and A New BenchmarkCode0
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation0
Holistic, Instance-Level Human ParsingCode0
Multiple-Human Parsing in the WildCode0
Clothing and People - A Social Signal Processing Perspective0
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human ParsingCode0
Human Parsing With Contextualized Convolutional Neural Network0
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose0
Pose-Guided Human Parsing with Deep Learned Features0
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing0
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Benchmark Results

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