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 51–100 of 125 papers

TitleStatusHype
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity AlignmentCode0
Look into Person: Joint Body Parsing & Pose Estimation Network and A New BenchmarkCode0
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human ParsingCode0
Macro-Micro Adversarial Network for Human ParsingCode0
Multiple-Human Parsing in the WildCode0
Parsing is All You Need for Accurate Gait Recognition in the WildCode0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Progressive Limb-Aware Virtual Try-OnCode0
Self-Correction for Human ParsingCode0
Self-Supervised Learning via Conditional Motion PropagationCode0
Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label DomainsCode0
Single-stage Multi-human Parsing via Point Sets and Center-based OffsetsCode0
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human ParsingCode0
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge TransferCode0
Deep Learning for Human Parsing: A Survey—0
Data Augmentation in Human-Centric Vision—0
360° Volumetric Portrait Avatar—0
Keypoint Based Weakly Supervised Human Parsing—0
Knowledge Integration Networks for Action Recognition—0
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation—0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Learning Semantic Neural Tree for Human Parsing—0
Clothing and People - A Social Signal Processing Perspective—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
The Active-Filler Strategy in a Move-Eager Left-Corner Minimalist Grammar Parser—0
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Clicking Matters:Towards Interactive Human Parsing—0
CIParsing: Unifying Causality Properties into Multiple Human Parsing—0
Towards Multi-pose Guided Virtual Try-on Network—0
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation—0
Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation—0
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing—0
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially—0
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification—0
Blended Grammar Network for Human Parsing—0
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Part-Aware Context Network for Human Parsing—0
Towards Unified Human Parsing and Pose Estimation—0
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns—0
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose—0
Pose-Guided Human Parsing with Deep Learned Features—0
Predicting Phrase Breaks in Classical and Modern Standard Arabic Text—0
Prior Based Human Completion—0
TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
Progressive refinement: a method of coarse-to-fine image parsing using stacked network—0
All Fragments Count in Parser Evaluation—0
AIParsing: Anchor-free Instance-level Human Parsing—0
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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