Image Classification on PACS GINIDG setting (test) benchmark leaderboard · SOTA2 Research

Image Classification on PACS GINIDG setting (test)

0.857Accuracy (Overall)NDCL

Evaluation Results

Method	Links
NDCL2026.01		0.857	0.865	0.884	0.794
PGrad2026.01		0.843	0.876	0.866	0.714
TCRI2026.01		0.833	0.823	0.892	0.696
RDM2026.01		0.832	0.844	0.864	0.733
BSoftmax2026.01		0.832	0.808	0.876	0.818
LDAM2026.01		0.83	0.843	0.864	0.742
CORAL2026.01		0.828	0.846	0.861	0.726
DANN2026.01		0.828	0.827	0.86	0.761
VREx2026.01		0.828	0.849	0.862	0.702
SAMALTDG2026.01		0.824	0.845	0.862	0.716
EQRM2026.01		0.823	0.823	0.866	0.749
ERM2026.01		0.822	0.839	0.862	0.715
Mixup2026.01		0.822	0.857	0.856	0.643
MMD2026.01		0.822	0.831	0.868	0.707
Fishr2026.01		0.821	0.81	0.875	0.725
ReWeight2026.01		0.821	0.827	0.873	0.702
BoDA2026.01		0.821	0.856	0.841	0.708
MLDG2026.01		0.82	0.845	0.852	0.673
SagNet2026.01		0.813	0.816	0.861	0.688
IRM2026.01		0.812	0.837	0.837	0.699
Focal2026.01		0.811	0.832	0.841	0.684
GINIDG2026.01		0.811	0.818	0.855	0.699
Fish2026.01		0.807	0.813	0.859	0.664
GroupDRO2026.01		0.797	0.805	0.847	0.682