Color Correction on Proposed dataset aligned Mobile sensors 1.0 (test) benchmark leaderboard · SOTA2 Research

Color Correction on Proposed dataset aligned Mobile sensors 1.0 (test)

1.47Delta E00 MeancmKAN-light

Evaluation Results

Method	Links
cmKAN-light2025.12		1.47	1.19	1.24	0.65	2.79	3.3	5.61	20.78	2.83	1.13	1.62	0.4	8.15	10.25	16.35	37.56
LPIENet2025.12		1.66	1.49	1.53	0.94	2.69	3.06	4.38	12.73	3.13	1.52	1.96	0.66	8.38	10.24	16.53	37.7
LPIENet-small2025.12		1.84	1.64	1.68	1.07	2.96	3.37	5	21.2	3.28	1.66	2.11	0.75	8.59	10.6	16.68	37.43
Squeezenet-FC42025.12		3.16	2.75	2.83	1.4	5.63	6.65	9.47	19.76	4.51	2.87	3.29	0.98	10.8	13.63	18.71	38.39
SpectralConvMean2025.12		3.16	2.73	2.82	1.39	5.68	6.43	10.45	22.38	4.35	2.86	3.21	0.98	10.28	12.77	18.76	40.7
SpectralFC42025.12		3.19	2.77	2.85	1.39	5.76	6.68	10.29	19.8	4.38	2.76	3.17	0.96	10.53	13.38	19.05	37.7
ConvMean2025.12		3.54	2.95	3.07	1.44	6.68	7.98	12.29	21.16	4.76	3.05	3.49	1.03	11.4	14.16	19.53	40.2
WP2025.12		5.04	4.2	4.5	1.95	9.46	10.96	14.84	18.75	6.16	4.76	5.1	1.59	13.02	15.68	20.83	40.11
QU2025.12		5.41	4.79	4.87	1.97	10.04	11.87	17.33	20.87	7.03	5.55	5.8	1.85	14.7	18.53	28.58	40.69
GE22025.12		5.44	4.91	4.97	2.01	9.9	12.35	14.91	22.28	6.5	5.04	5.36	1.55	13.83	16.62	22.29	42.06
GE12025.12		5.5	4.87	4.9	1.88	10.46	12.71	17.95	21.99	6.59	4.98	5.28	1.58	14.36	17.81	23.59	41.85
SoG2025.12		5.96	5.32	5.46	2.12	11.06	13.28	17.41	22.5	7.33	5.94	6.01	1.86	15.39	19.45	27.2	41.53
GGW2025.12		6.15	5.46	5.61	2.09	11.47	13.43	19.03	24.22	7.57	6.09	6.21	1.94	15.83	20.25	29.29	41.54
QU2025.12		6.37	5.8	5.87	2.31	11.65	14.29	19.28	21.94	8.1	6.34	6.71	2.09	17.17	21.39	30.17	42.07
GW2025.12		7.71	7.06	7.19	2.79	13.49	15.92	21.45	25.87	9.48	8.16	8.35	2.86	18.76	23.31	33.47	42.85