HOB-net:High-order Block Network via Deep Metric Learning for Person Re-identification

Implementation of the paper HOB-net:High-order Block Network via Deep Metric Learning for Person Re-identification.

The approach proposed in the paper is simple yet effective on three re-ID datasets: Market-1501, DukdMTMC-ReID and CUHK03.

Preparation

1.Install

　　pytorch>=0.4

　　torchvision

　　ignite=0.1.2

　　yacs

2.Dataset

　　Download dataset to reid/data/

Train

Test

Results

Dataset	Rank-1	mAP
Market1501	94.7	86.3
DukeMTMC	88.2	77.2
CUHK03-L	69.4	66.5
CUHK03-N	69.2	66.8

Example results

DukeMTMC

Market1501

Acknowledgement

Our code is based on reid-strong-baseline