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 6170 of 125 papers

TitleStatusHype
AAformer: Auto-Aligned Transformer for Person Re-Identification0
Human De-occlusion: Invisible Perception and Recovery for Humans0
Quality-Aware Network for Human ParsingCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Parser-Free Virtual Try-on via Distilling Appearance FlowsCode1
PISE: Person Image Synthesis and Editing with Decoupled GANCode1
Graphonomy: Universal Image Parsing via Graph Reasoning and TransferCode1
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing0
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing0
Neural Architecture Search for Joint Human Parsing and Pose EstimationCode1
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Benchmark Results

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