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 1120 of 125 papers

TitleStatusHype
Graphonomy: Universal Human Parsing via Graph Transfer LearningCode1
Hierarchical Human Parsing with Typed Part-Relation ReasoningCode1
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
Identity-Guided Human Semantic Parsing for Person Re-IdentificationCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
End-to-end One-shot Human ParsingCode1
Correlating Edge, Pose with ParsingCode1
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
CDGNet: Class Distribution Guided Network for Human ParsingCode1
Deep Learning Technique for Human Parsing: A Survey and OutlookCode1
Show:102550
← PrevPage 2 of 13Next →

Benchmark Results

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