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SOTA Vehicle Re-identification benchmarks and papers with code | Wizwand
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Vehicle Re-identification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
VeRi-776 (test)
ProNet++
Rank-1
97.7
232
3d ago
VehicleID 1600 (test)
GiT
Rank-1 Score
80.52
69
4d ago
VehicleID 800 (test)
GiT
Rank-1 Acc
84.65
69
4d ago
VehicleID 2400 (test)
GiT
Rank-1
77.94
63
4d ago
VehicleID Small
UNICOM
R-1
97
61
3d ago
VehicleID (Large)
AdaSP
R-1
83
39
3d ago
MSVR310
DCG
mAP
62.9
29
4d ago
VehicleID Medium
AdaSP
Rank-1
85.6
28
4d ago
VeRi-Wild (test 3000)
GiT
R1 Accuracy
92.65
25
4d ago
VeRi-Wild (Test10000)
GiT
R1 Accuracy
85.41
24
4d ago
VeRi-Wild (test5000)
GiT
Rank-1 Accuracy
89.92
24
4d ago
VehicleID
PartFormer*
Rank-1 Accuracy
86.6
23
4d ago
VERI-Wild (Small)
AdaSP
mAP
89.2
23
4d ago
VERI-Wild Large
AdaSP
mAP
78.7
21
4d ago
VERI-Wild (Medium)
AdaSP
mAP
84.8
21
4d ago
RGBNT100
DCG
mAP
0.876
19
4d ago
VeRi
QD-DLF
mAP
61.83
19
4d ago
VehicleID small (test)
CLIP-ReID
Rank-1 Accuracy
85.5
17
3d ago
WMVeID863
DCG
mAP
0.714
17
4d ago
VehicleID 1.0 (test)
MGR-GCL
mAP
47.59
14
4d ago
VehicleID to VeRi-776
AWB
Rank-1
79.1
11
4d ago
VehicleID Average
DJDL
Rank-1
70.4
11
4d ago
V-Reid dataset
VehicleMAE-V2
mAP
87.3
10
4d ago
PKU-VehicleID → VeRi-776 unsupervised domain adaptation
Ours
Rank-1 Accuracy
76.9
10
4d ago
VeRi-776
CLIP-ReID
mAP
83.3
9
3d ago
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