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 31–40 of 125 papers

TitleStatusHype
Graphonomy: Universal Image Parsing via Graph Reasoning and TransferCode1
Learning Compositional Neural Information Fusion for Human ParsingCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
Parsing R-CNN for Instance-Level Human AnalysisCode1
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
End-to-end One-shot Human ParsingCode1
Deep Learning for Human Parsing: A Survey—0
Blended Grammar Network for Human Parsing—0
Deep Human Parsing with Active Template Regression—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