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 31–40 of 125 papers

TitleStatusHype
Hierarchical Human Parsing with Typed Part-Relation ReasoningCode1
Human Co-Parsing Guided Alignment for Occluded Person Re-identificationCode1
Learning from Synthetic AnimalsCode1
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View ConsistencyCode1
Identity-Guided Human Semantic Parsing for Person Re-IdentificationCode1
PISE: Person Image Synthesis and Editing with Decoupled GANCode1
Deep Learning for Human Parsing: A Survey—0
Blended Grammar Network for Human Parsing—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