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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 121–125 of 125 papers

Title	Date	Tasks	Status	Hype
Holistic, Instance-Level Human Parsing	Sep 11, 2017	Human DetectionHuman Parsing	CodeCode Available	0
Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label Domains	Apr 9, 2023	Human ParsingRepresentation Learning	CodeCode Available	0
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing	Nov 27, 2019	Human ParsingSemantic Segmentation	CodeCode Available	0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification	Jan 31, 2024	Human ParsingMulti-Task Learning	CodeCode Available	0
Devil in the Details: Towards Accurate Single and Multiple Human Parsing	Sep 17, 2018	Human ParsingPerson Re-Identification	CodeCode Available	0

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All datasets 4D-DRESS PASCAL Context

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Graphonomy_Inner	mAcc	0.97	—	Unverified
2	CDGNet_Inner	mAcc	0.92	—	Unverified
3	Graphonomy_Outer	mAcc	0.92	—	Unverified
4	SCHP_Inner	mAcc	0.91	—	Unverified
5	CDGNet_Outer	mAcc	0.89	—	Unverified
6	SCHP_Outer	mAcc	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InvPT	mIoU	67.61	—	Unverified