Vehicle Reidentification Based on MAPANet and k-Reciprocal Encoding

Table 2

The mAP, Rank-1, and Rank-5 comparison on the VeRi-776 dataset.

VeRi-776 methods	mAP (%)	R1 (%)	R5 (%)
GoogLeNet [32]	17.89	52.32	72.17
VAMI [13]	50.13	77.03	90.82
STR + ST [36]	51.42	68.3	89.7
VRSDNet [37]	53.45	83.49	92.55
Siamese-CNN [35]	54.21	79.32	88.92
EALN [40]	57.44	84.39	88.97
MSA [14]	62.89	92.07	96.19
DFN [26]	61.85	88.14	96.83
VANet [38]	66.35	89.79	95.92
PNVR [39]	72.39	92.36	96.77
Ours	72.83	93.35	97.09