Table 7. Rank-1 Accuracy comparison of proposed FV-EffResNet with other methods using MMCBNU_600 dataset.

Train/Test Split	Method	Rank-1 Accuracy (%)
Training 5 Testing 5	Gumusbas et al. (2019)	95.5
	FV-EffResNet	98.43
Training 6 Testing 4	Gumusbas et al. (2019)	95.80
	Liu et al. (2022)	99.83
	FV-EffResNet	98.58
Training 8 Testing 2	Gumusbas et al. (2019)	100
	FV-EffResNet	99.25