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 26–50 of 125 papers

TitleStatusHype
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
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
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and BenchmarkCode1
Google Coral-based edge computing person reidentification using human parsing combined with analytical method—0
RepParser: End-to-End Multiple Human Parsing with Representative Parts—0
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identificationCode0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
AIParsing: Anchor-free Instance-level Human Parsing—0
Text2Human: Text-Driven Controllable Human Image GenerationCode2
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training—0
Versatile Multi-Modal Pre-Training for Human-Centric PerceptionCode1
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
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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