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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 81–90 of 125 papers

Title	Date	Tasks	Status	Hype
Self-Learning with Rectification Strategy for Human Parsing	Apr 17, 2020	Human ParsingSelf-Learning	—Unverified	0
Hierarchical Human Parsing with Typed Part-Relation Reasoning	Mar 10, 2020	Human ParsingRelation	CodeCode Available	1
Knowledge Integration Networks for Action Recognition	Feb 18, 2020	Action RecognitionHuman Parsing	—Unverified	0
C-DLinkNet: considering multi-level semantic features for human parsing	Jan 31, 2020	DecoderHuman Parsing	CodeCode Available	0
Learning Compositional Neural Information Fusion for Human Parsing	Jan 19, 2020	Human Parsing	CodeCode Available	1
Learning Semantic Neural Tree for Human Parsing	Dec 20, 2019	Human ParsingSemantic Segmentation	—Unverified	0
Learning from Synthetic Animals	Dec 17, 2019	Domain AdaptationHuman Parsing	CodeCode Available	1
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing	Nov 27, 2019	Human ParsingSemantic Segmentation	CodeCode Available	0
Self-Correction for Human Parsing	Oct 22, 2019	Human ParsingHuman Part Segmentation	CodeCode Available	0
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification	Oct 22, 2019	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