Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval

Table 3

Accuracy in terms of MAP compared to nondeep methods with deep features.

Method	CIFAR-10				NUS-WIDE
	12 bits	24 bits	32 bits	48 bits	12 bits	24 bits	32 bits	48 bits
SH + CNN	0.183	0.164	0.161	0.161	0.621	0.616	0.615	0.612
ITQ + CNN	0.237	0.246	0.255	0.261	0.719	0.739	0.747	0.756
SPLH + CNN	0.299	0.330	0.335	0.330	0.753	0.775	0.783	0.786
LFH + CNN	0.208	0.242	0.266	0.339	0.695	0.734	0.739	0.759
KSH + CNN	0.488	0.539	0.548	0.563	0.768	0.786	0.790	0.799
SDH + CNN	0.478	0.557	0.584	0.592	0.780	0.804	0.815	0.824
FastH + CNN	0.553	0.607	0.619	0.636	0.779	0.807	0.816	0.825
DHFI	0.613	0.750	0.768	0.774	0.807	0.836	0.854	0.860