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 21–30 of 125 papers

TitleStatusHype
UniParser: Multi-Human Parsing with Unified Correlation Representation LearningCode1
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Parsing is All You Need for Accurate Gait Recognition in the Wild—0
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
CIParsing: Unifying Causality Properties into Multiple Human Parsing—0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—0
Integrating Human Parsing and Pose Network for Human Action RecognitionCode1
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
Single-stage Multi-human Parsing via Point Sets and Center-based OffsetsCode0
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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