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 4150 of 125 papers

TitleStatusHype
Parsing is All You Need for Accurate Gait Recognition in the WildCode0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human ParsingCode0
Multiple-Human Parsing in the WildCode0
Look into Person: Joint Body Parsing & Pose Estimation Network and A New BenchmarkCode0
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity AlignmentCode0
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human ParsingCode0
C-DLinkNet: considering multi-level semantic features for human parsingCode0
Exploring More from Multiple Gait Modalities for Human IdentificationCode0
Macro-Micro Adversarial Network for Human ParsingCode0
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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