Table 2.

Details of SAM used in the present work. SAM refers to Spatial Attention Module

Module	Convolution Layer-1		Convolution Layer-2		Convolution Layer-3
	Filter size	No of filters	Filter size	No of filter	Filter size	No of filters
SAM-1	$1\times 1$	1	$3\times 3$	16	$3\times 3$	32
SAM-2	$1\times 1$	1	$3\times 3$	32	$3\times 3$	64
SAM-3	$1\times 1$	1	$3\times 3$	32	$3\times 3$	64
SAM-4	$1\times 1$	1	$3\times 3$	64	$3\times 3$	128