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 61–70 of 125 papers

TitleStatusHype
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
Fashion Editing with Adversarial Parsing Learning—0
Deep Learning for Human Parsing: A Survey—0
Deep Human Parsing with Active Template Regression—0
Data Augmentation in Human-Centric Vision—0
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment—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
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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