Backbone

Method

Accuracy

# Params

GFLOPs

ResNet-50

[16] (baseline)

(our reimplementation)

94.93%

23.7

3.8

ResNet-50

MSTSM

95.64%

24.2

3.9

[16] + TFDEM

95.71%

23.9

3.9

MSTSM + TFDEM

96.25%

24.5

4.0

MSTSM + TFDEM + pruning

95.57%

22.4

3.6

MSTSM-TFDEM-OF

97.98%

49.0

7.9

EfficientNet-B0

MSTSM

95.60%

4.23

0.7

MSTSM + TFDEM

96.08%

4.49

0.7