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 91100 of 125 papers

TitleStatusHype
Self-Correction for Human ParsingCode0
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-IdentificationCode0
Fashion Editing with Adversarial Parsing Learning0
The Active-Filler Strategy in a Move-Eager Left-Corner Minimalist Grammar Parser0
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification0
Self-Supervised Learning via Conditional Motion PropagationCode0
Towards Multi-pose Guided Virtual Try-on Network0
Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Devil in the Details: Towards Accurate Single and Multiple Human ParsingCode0
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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