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 81–90 of 125 papers

TitleStatusHype
Robust Person Re-Identification through Contextual Mutual Boosting—0
Affinity-aware Compression and Expansion Network for Human Parsing—0
Blended Grammar Network for Human Parsing—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
Part-Aware Context Network for Human Parsing—0
Self-Learning with Rectification Strategy for Human Parsing—0
Knowledge Integration Networks for Action Recognition—0
C-DLinkNet: considering multi-level semantic features for human parsingCode0
Learning Semantic Neural Tree for Human Parsing—0
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human ParsingCode0
Show:102550
← PrevPage 9 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