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 61–70 of 125 papers

TitleStatusHype
Deep Human Parsing with Active Template Regression—0
Deep Learning for Human Parsing: A Survey—0
Describe me if you can! Characterized Instance-level Human Parsing—0
Eliminating Background-Bias for Robust Person Re-Identification—0
Synthesizing Environment-Specific People in Photographs—0
Exploring More from Multiple Gait Modalities for Human Identification—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—0
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—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