EURASIP Journal on Advances in Signal Processing

Table 11 MAP evaluations for the large-scale experiments with MIR Flickr image distractors

From: Localizing global descriptors for content-based image retrieval

		UKBench				UCID
				+				+
		Cb	Dataset	Distract.	Loss	Cb	Dataset	Distract.	Loss
SIFT	CEDD	512	0.8136	0.8072	0.8 %	128	0.6813	0.6218	8.7 %
	SCD	512	0.8764	0.8208	6.3 %	512	0.7145	0.6523	8.7 %
SURF	CEDD	512	0.8964	0.8712	2.8 %	2048	0.7811	0.6951	11.0 %
	SCD	512	0.9145	0.8466	7.4 %	2048	0.7718	0.6932	10.2 %
Rnd	CEDD	2048	0.9183	0.9009	1.9 %	2048	0.7890	0.7001	11.3 %
	SCD	2048	0.9268	0.8869	4.3 %	2048	0.7794	0.6981	10.4 %
Gauss	CEDD	2048	0.9245	0.8956	3.1 %	2048	0.7955	0.7028	11.7 %
Rnd	SCD	2048	0.9254	0.8884	4.0 %	2048	0.7876	0.7066	10.3 %
		Holidays				ZuBuD
				+				+
		Cb	Dataset	Distract.	Loss	Cb	Dataset	Distract.	Loss
SIFT	CEDD	512	0.7441	0.7082	4.8 %	2048	0.6854	0.6422	6.3 %
	SCD	512	0.7506	0.7064	5.9 %	512	0.5451	0.5173	5.1 %
SURF	CEDD	2048	0.7763	0.7528	3.0 %	2048	0.8340	0.7567	9.3 %
	SCD	512	0.7531	0.7237	3.9 %	2048	0.7453	0.6900	7.4 %
Rnd	CEDD	2048	0.8077	0.7633	5.5 %	2048	0.8338	0.7744	7.1 %
	SCD	2048	0.8042	0.7462	7.2 %	2048	0.8287	0.7626	8.0 %
Gauss	CEDD	2048	0.8172	0.7545	7.7 %	2048	0.8287	0.7731	6.7 %
Rnd	SCD	2048	0.7968	0.7277	8.7 %	2048	0.8117	0.7571	6.7 %

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