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 31–40 of 125 papers

TitleStatusHype
Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label DomainsCode0
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual TasksCode3
HumanBench: Towards General Human-centric Perception with Projector Assisted PretrainingCode2
UniHCP: A Unified Model for Human-Centric PerceptionsCode1
Texture-Based Input Feature Selection for Action Recognition—0
Deep Learning for Human Parsing: A Survey—0
Deep Learning Technique for Human Parsing: A Survey and OutlookCode1
Human Co-Parsing Guided Alignment for Occluded Person Re-identificationCode1
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human ReconstructionCode1
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
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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