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
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human ReconstructionCode1
Parsing R-CNN for Instance-Level Human AnalysisCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
Hierarchical Human Parsing with Typed Part-Relation ReasoningCode1
Renovating Parsing R-CNN for Accurate Multiple Human ParsingCode1
End-to-end One-shot Human ParsingCode1
Adaptive Temporal Encoding Network for Video Instance-level Human ParsingCode0
Deep Human Parsing with Active Template RegressionCode0
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-IdentificationCode0
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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