Manipulated Faces Detection with Adaptive Filter

Algorithm 1

Spatial Pyramid Pooling Fusion.

(i)	Input: spatial feature IS (M M Ch1);
(ii)	frequency feature IF (N N Ch2);
(iii)	SPP levels L;
(iv)	pooling type T
(v)	Output: fusion feature FF
(1)	cnt = 0;
(2)	S = [];
(3)	F = [];
(4)	while cnt < L do
(5)	Cnt + = 1;
(6)	Kernel_S = (M/cnt, M/cnt);
(7)	Kernel_F= (N/cnt, N/cnt);
(8)	S = [S, Pooling(IS, T, Kernel_S)];
(9)	F = [F, Pooling(IF, T, Kernel_F)];
(10)	end
(11)	Attention_S = S;
(12)	Attention_F = F;
(13)	Fusion1 = Attention_S;
(14)	Fusion2 = Attention_F;
(15)	FF = [Fusion1, Fusion2]