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 11–20 of 125 papers

TitleStatusHype
Integrating Human Parsing and Pose Network for Human Action RecognitionCode1
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
UniHCP: A Unified Model for Human-Centric PerceptionsCode1
Deep Learning Technique for Human Parsing: A Survey and OutlookCode1
Human Co-Parsing Guided Alignment for Occluded Person Re-identificationCode1
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human ReconstructionCode1
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and BenchmarkCode1
Versatile Multi-Modal Pre-Training for Human-Centric PerceptionCode1
CDGNet: Class Distribution Guided Network for Human ParsingCode1
Quality-Aware Network for Face ParsingCode1
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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