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 41–50 of 125 papers

TitleStatusHype
TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Exploring More from Multiple Gait Modalities for Human IdentificationCode0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity AlignmentCode0
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification—0
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Data Augmentation in Human-Centric Vision—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
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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