Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks

Table 1

Configuration of AlexNet in our method.

Layer	Configuration
	#Filter	Filter size	Stride	Padding	Pooling
Conv1	64	11 × 11	4 × 4	2 × 2	3 × 3
Conv2	192	5 × 5	1 × 1	2 × 2	3 × 3
Conv3	384	3 × 3	1 × 1	1 × 1	—
Conv4	256	3 × 3	1 × 1	1 × 1	—
Conv5	256	3 × 3	1 × 1	1 × 1	3 × 3
Full6		9216
Full7		4096
Full8		Hash code length