Person Reidentification Based on Multiscale Batch Feature-Discarding Network

Fig. 6. Experimental results under different ε. (a) Experimental results under Market1501 dataset; (b) experimental results under DukeMTMC-reID dataset

Download full size

Fig. 7. Visualization results of Market1501

Download full size

Fig. 8. Visualization results of DukeMTMC-reID

Download full size

Table 1. Statistics for datasets
View table
Table 1. Statistics for datasets
Dataset Detail information
ID Image Camera Label Year
Market1501 1501 32668 6 Hand&Auto 2015
DukeMTMC-reID 1404 36411 8 Hand&Auto 2017
CUHK03 1467 14097 2 Hand&Auto 2014
Occluded-Duke 1221 33279 8 Hand&Auto 2019

Table 2. Experimental results of different ResNet50

View table

Table 2. Experimental results of different ResNet50

Method	Market1501		DukeMTMC-reID
Method	Rank-1	mAP	Rank-1	mAP
ResNet50（without FD and IBN）	93.8	84.0	86.7	73.1
ResNet50（with IBN）	95.1	86.1	88.1	75.2
ResNet50（with FD）	94.0	84.4	87.1	74.0
ResNet50（with FD and IBN）	95.3	86.8	88.5	75.9

Table 3. Experimental results under different ε
View table
Table 3. Experimental results under different ε
ε Market1501 DukeMTMC-reID
Rank-1 mAP Rank-1 mAP
0.05 95.1 86.2 88.2 74.7
0.1 95.3 86.8 88.5 75.9
0.15 94.7 85.6 88.4 75.5
0.2 94.6 84.9 88.1 75.2
0.25 94.1 84.6 87.8 74.3
0.3 93.8 84.5 87.9 73.9

Table 4. Experimental results of Cut and RE

View table

Table 4. Experimental results of Cut and RE

Method	Market1501		DukeMTMC-reID
Method	Rank-1	mAP	Rank-1	mAP
ResNet50（without FD and IBN）	92.8	82.1	85.1	69.8
ResNet50（without FD and IBN）+RE	93.1	82.6	85.7	71.5
ResNet50（without FD and IBN）+Cut	93.8	84.0	86.7	73.1
ResNet50（with FD and IBN）	94.0	84.4	87.7	73.9
ResNet50（with FD and IBN）+RE	94.3	85.0	87.9	75.4
ResNet50（with FD and IBN）+Cut	95.3	86.8	88.5	75.9

Table 5. Experimental results under different training tricks
View table
Table 5. Experimental results under different training tricks
Method Market1501 DukeMTMC-reID
Rank-1 mAP Rank-1 mAP
Baseline 91.2 76.9 83.5 65.1
+warmup 92.7 82.6 86.0 72.3
+Cutout 93.9 83.9 86.3 73.5
+LS 94.5 85.2 87.6 74.8
+stride=1 95.3 86.8 88.5 75.9

Table 6. Comparison of experimental results of different methods on Market1501 and DukeMTMC-reID

View table

Table 6. Comparison of experimental results of different methods on Market1501 and DukeMTMC-reID

Method	Market1501		DukeMTMC-reID
Method	Rank-1	mAP	Rank-1	mAP
IDE	72.5	46.0	67.7	47.1
SVDNet	82.3	62.1	76.7	56.8
HA-CNN	91.2	75.7	80.5	63.8
SVDNet+Era	87.1	71.3	79.3	62.4
IANet	94.4	83.1	87.1	73.4
PCB	92.4	77.3	81.9	65.3
PCB+RPP	93.8	81.6	83.3	69.2
MGN	95.7	86.9	88.7	78.4
Ours	95.3	86.8	88.5	75.9
Ours+Re-ranking	95.4	93.1	90.4	87.5

Table 7. Comparison of experimental results of different methods on CUHK03

View table

Table 7. Comparison of experimental results of different methods on CUHK03

Method	CUHK03-Labeled		CUHK03-Detected
Method	Rank-1	mAP	Rank-1	mAP
IDE	22.2	21.0	21.3	19.7
SVDNet			41.5	37.3
HA-CNN	44.4	41.0	41.7	38.6
SVDNet+Era	49.4	45.0	48.7	37.2
PCB			61.3	54.2
PCB+RPP			62.8	56.7
MGN	68.0	67.4	66.8	66.0
Ours	80.9	77.8	77.9	74.9
Ours+Re-ranking	86.5	88.1	84.4	85.9

Table 8. Comparison of experimental results of different methods on Occluded-Duke
View table
Table 8. Comparison of experimental results of different methods on Occluded-Duke
Method Rank-1 mAP
Part-Aligned 28.8 20.2
PCB 42.6 33.7
SFR 42.3 32
PGFA 51.4 37.3
HOReID 55.1 43.8
Ours 58.7 46.4
Ours+Re-ranking 61.7 61.2

Tools

Get Citation

Copy Citation Text

Dexiang Zhang, Peicheng Yuan, Jun Wang. Person Reidentification Based on Multiscale Batch Feature-Discarding Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215009

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites