CAW: A Remote-Sensing Scene Classification Network Aided by Local Window Attention

Table 1

Comparison of parameters and calculations of the model.

Model	FLOPs (G)	Parameter (M)
ResNet50 [31]	5367.48	23.52
Vgg16 [32]	20185.96	138.36
DenseNet [33]	3742.61	7.98
GoogleNet [27]	2071.13	6.99
ViT-Ti [14]	21980.16	86.38
Swin transformer [20]	7078.50	28.24
VAN [17]	1149.08	41.00
Conformer-Ti [15]	3241.03	11.31
CMT [26]	1580.74	8.17
MPViT [25]	4212.25	6.08
CAW	566.61	1.27