Saliency Detection via Fusing Color Contrast and Hash Fingerprint

Table 1

Quantitative comparison of different methods over six image datasets.

Dataset	Metrics	Method
		FT	IT	GBMR	CA	LC	MSS	SF	SRFC	Ours
MASK10k	AUC	0.8546	0.9144	0.9261	0.9504	0.8762	0.9326	0.9023	0.8952	0.9780
	MAE	0.1972	0.1929	0.1303	0.1787	0.1829	0.1851	0.2055	0.1045	0.1265
	Fβ-score	0.8438	0.7818	0.9335	0.7789	0.8459	0.8840	0.7402	0.9224	0.9494
SOD	AUC	0.7175	0.8888	0.9454	0.9023	0.7212	0.8725	0.8745	0.8372	0.9472
	MAE	0.3284	0.3120	0.2794	0.2927	0.3214	0.3171	0.3423	0.2476	0.2427
	Fβ-score	0.8136	0.8137	0.9636	0.8136	0.7993	0.8720	0.7991	0.8691	0.9254
DUTS	AUC	0.8274	0.8836	0.9200	0.8973	0.8277	0.8840	0.7974	0.8866	0.9679
	MAE	0.2465	0.2578	0.1817	0.2458	0.2439	0.2429	0.2708	0.1447	0.1752
	Fβ-score	0.8358	0.7582	0.9298	0.7810	0.8257	0.8480	0.6805	0.9313	0.9354
ECSSD	AUC	0.7250	0.8702	0.9075	0.8875	0.7124	0.8557	0.8449	0.8266	0.9248
	MAE	0.3006	0.2635	0.2311	0.2458	0.2938	0.2623	0.2820	0.2025	0.2184
	Fβ-score	0.7651	0.7556	0.9182	0.7989	0.7569	0.8315	0.7476	0.8732	0.8756
HKU_IS	AUC	0.8110	0.8887	0.8483	0.8839	0.8007	0.8886	0.6379	0.9244	0.9342
	MAE	0.2019	0.2074	0.1868	0.2422	0.2028	0.1823	0.2387	0.0881	0.1590
	Fβ-score	0.7554	0.6986	0.8388	0.6704	0.7365	0.7922	0.4673	0.9139	0.8600
DADA-W	AUC	0.8406	0.9477	0.9374	0.9443	0.8041	0.9065	0.9192	0.8664	0.9610
	MAE	0.1538	0.1350	0.1185	0.1569	0.1611	0.1410	0.1418	0.1504	0.1147
	Fβ-score	0.6650	0.7840	0.8575	0.7269	0.6339	0.7317	0.7022	0.6640	0.8586