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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 125 papers

TitleStatusHype
Google Coral-based edge computing person reidentification using human parsing combined with analytical method—0
Clicking Matters:Towards Interactive Human Parsing—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification—0
CIParsing: Unifying Causality Properties into Multiple Human Parsing—0
Human Parsing With Contextualized Convolutional Neural Network—0
Human Pose Estimation With Parsing Induced Learner—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—0
Show:102550
← PrevPage 6 of 13Next →
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