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 1120 of 125 papers

TitleStatusHype
4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic AnnotationsCode2
Part-Attention Based Model Make Occluded Person Re-Identification Stronger0
Data Augmentation in Human-Centric Vision0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
Explore Human Parsing Modality for Action RecognitionCode1
Synthesizing Environment-Specific People in Photographs0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
360° Volumetric Portrait Avatar0
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns0
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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