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 51–75 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
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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