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

Showing 111120 of 125 papers

TitleStatusHype
Google Coral-based edge computing person reidentification using human parsing combined with analytical method0
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification0
Exploring the Robustness of Human Parsers Towards Common Corruptions0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification0
AAformer: Auto-Aligned Transformer for Person Re-Identification0
Exploring More from Multiple Gait Modalities for Human Identification0
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training0
Synthesizing Environment-Specific People in Photographs0
Human De-occlusion: Invisible Perception and Recovery for Humans0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Graphonomy_InnermAcc0.97Unverified
2CDGNet_InnermAcc0.92Unverified
3Graphonomy_OutermAcc0.92Unverified
4SCHP_InnermAcc0.91Unverified
5CDGNet_OutermAcc0.89Unverified
6SCHP_OutermAcc0.86Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmIoU67.61Unverified