[Retracted] Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model

Table 2

The MAP@50 results of two retrieval tasks on MIRFLICKR with various code lengths.

Methods	Image-query-text				Text-query-image
	16	32	64	128	16	32	64	128
CVH [7]	0.606	0.599	0.596	0.598	0.591	0.583	0.576	0.576
IMH [11]	0.612	0.601	0.592	0.579	0.603	0.595	0.589	0.580
CMFH [24]	0.621	0.624	0.625	0.627	0.642	0.662	0.676	0.685
LSSH [26]	0.584	0.599	0.602	0.614	0.618	0.626	0.626	0.628
DBRC [31]	0.617	0.619	0.620	0.621	0.618	0.626	0.626	0.628
UDCMH [28]	0.689	0.698	0.714	0.717	0.692	0.704	0.718	0.733
DJSRH [29]	0.810	0.843	0.862	0.876	0.786	0.822	0.835	0.847
JDSH [27]	0.832	0.853	0.882	0.892	0.825	0.864	0.878	0.880
Ours	0.854	0.876	0.893	0.905	0.837	0.867	0.882	0.884