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
Data Augmentation in Human-Centric Vision—0
Fashion Editing with Adversarial Parsing Learning—0
Human Pose Estimation With Parsing Induced Learner—0
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation—0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Clothing and People - A Social Signal Processing Perspective—0
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose—0
Human Parsing With Contextualized Convolutional Neural Network—0
Google Coral-based edge computing person reidentification using human parsing combined with analytical method—0
Clicking Matters:Towards Interactive Human 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