Image Classification on PACS Open Domain (test) benchmark leaderboard · SOTA2 Research

Image Classification on PACS Open Domain (test)

59.32Accuracy (Art)DAML

Evaluation Results

Method	Links
DAML2023.03		59.32	51.62	66.7	53.25	81.01	63.68	62.97	53.3	67.5	55.46
CORAL2023.03		53.72	47.24	55.89	46.21	71.13	70.53	51.95	47.2	58.17	52.79
ARPL2023.03		53.47	45.19	52.86	42.33	56.7	56.51	46.55	37.83	52.39	45.47
MMD2023.03		53.38	44.26	55.3	45.96	68.04	69.79	54.24	47.2	57.74	51.8
Mixup2023.03		52.67	42.59	53.18	44.93	58.13	58.63	43.86	37.38	51.96	45.88
VREx2023.03		51.86	43.9	50.04	42.38	57.05	59.01	41.47	35.72	50.1	45.25
DANN2023.03		51.67	42.64	57.09	47.24	51.56	43.58	45.64	38.16	51.49	42.9
ERM2023.03		51.57	43.82	48.53	41.82	57.13	60	41.54	36.61	49.69	45.56
ANDMask2023.03		50.51	42.64	57.31	48.45	57.35	18.9	47.29	40.29	53.11	37.57
RSC2023.03		50.4	36.54	52.07	46.72	53.04	48.48	44.4	37.57	49.98	42.33
MLDG2023.03		48.53	41.11	44.45	42.3	61.04	64.77	40.97	36.4	48.75	46.14
DIFEX2023.03		46.24	40.38	50.66	44.13	49.11	10.84	43.1	40.41	47.27	33.94