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
Keypoint Based Weakly Supervised Human Parsing—0
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
Human Parsing With Contextualized Convolutional Neural Network—0
Human Pose Estimation With Parsing Induced Learner—0
CIParsing: Unifying Causality Properties into Multiple Human Parsing—0
Deep Learning for Human Parsing: A Survey—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—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