TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Person Re-Identification	Market-1501	SPreID [kalayeh2018human]	Rank-1	93.6	# 24
Person Re-Identification	Market-1501	SPreID [kalayeh2018human]	MAP	83.3	# 34

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Human Semantic Parsing for Person Re-identification

CVPR 2018 • Mahdi M. Kalayeh • Emrah Basaran • Muhittin Gokmen • Mustafa E. Kamasak • Mubarak Shah

Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished... (read more)

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PERSON RE-IDENTIFICATION

REPRESENTATION LEARNING

SEMANTIC PARSING

Datasets

Market-1501

CUHK03

VIPeR

LIP

CUHK02

Results from the Paper

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Ranked #34 on Person Re-Identification on Market-1501

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	RESULT	BENCHMARK
Person Re-Identification	Market-1501	SPreID [kalayeh2018human]	Rank-1	93.6	# 24		Compare
Person Re-Identification	Market-1501	SPreID [kalayeh2018human]	MAP	83.3	# 34		Compare

Methods used in the Paper

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METHOD	TYPE
Average Pooling	Pooling Operations
Auxiliary Classifier	Miscellaneous Components
1x1 Convolution	Convolutions
RMSProp	Stochastic Optimization
Inception-v3 Module	Image Model Blocks
Max Pooling	Pooling Operations
Softmax	Output Functions
Convolution	Convolutions
Dropout	Regularization
Dense Connections	Feedforward Networks
Label Smoothing	Regularization
Inception-v3	Convolutional Neural Networks

Human Semantic Parsing for Person Re-identification

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