Improved Deep Hashing with Scalable Interblock for Tourist Image Retrieval

Algorithm 1

Key steps of the approach.

	Input: , the training image matrix
	q, the hash code length
	j, number of sub-layers
	W, the weight matrix
	Output: deep hash functions h(x)
(1)	Initialize the deep models by the pre-trained VGG-16 Sub-Network
(2)	Update W in training process according to loss function;
(3)	For do
(4)	For iter = 1 to j do
(5)	Compute ;
(6)	Compute ;
(7)	Quantize the relaxation binary into binary code with ;
(8)	Return
(9)	End for
(10)	End for