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 71–80 of 125 papers

TitleStatusHype
Clicking Matters:Towards Interactive Human Parsing—0
Image Comes Dancing with Collaborative Parsing-Flow Video SynthesisCode0
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially—0
Prior Based Human Completion—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
Human De-occlusion: Invisible Perception and Recovery for Humans—0
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing—0
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing—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