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 21–30 of 125 papers

TitleStatusHype
Explore Human Parsing Modality for Action RecognitionCode1
Graphonomy: Universal Human Parsing via Graph Transfer LearningCode1
Integrating Human Parsing and Pose Network for Human Action RecognitionCode1
Hierarchical Human Parsing with Typed Part-Relation ReasoningCode1
Deep Learning Technique for Human Parsing: A Survey and OutlookCode1
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human ReconstructionCode1
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based DecodersCode1
Identity-Guided Human Semantic Parsing for Person Re-IdentificationCode1
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and BenchmarkCode1
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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