Image Classification on ImageNet Cross-Dataset Evaluation Suite benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet Cross-Dataset Evaluation Suite

72.77Source Domain Accuracy (ImageNet)TAC

Evaluation Results

Method	Links
TAC2026.03		72.77	66.53	94.53	90.67	65.3	72.2	85.83	23.53	67.63	47.57	48.07	70
MMRL2026.03		72.03	67.25	94.67	91.43	66.1	72.77	86.4	26.3	67.57	45.9	53.1	68.27
CoOp2026.03		71.51	63.88	93.7	89.14	64.51	68.71	85.3	18.47	64.15	41.92	46.39	66.55
DeAR2026.03		71.5	67.6	95	91.23	66.7	73.8	86.8	26.5	68.3	45.4	53.5	68.8
PromptSRC2026.03		71.27	65.81	93.6	90.25	65.7	70.25	86.15	23.9	67.1	46.87	45.5	68.75
MaPLe2026.03		70.72	66.3	93.53	90.49	65.57	72.23	86.2	24.74	67.01	46.49	48.06	68.69
CoOpOp2026.05		70.62	65.69	94.52	90.47	65.91	71.92	86.02	23.34	66.54	45.51	44.43	68.24
RPO2026.05		69.69	65.31	93.75	89.13	66.25	70.6	85.07	24.25	66.95	45.86	43.95	67.29
CLIP-Adapter2026.05		68.64	65.41	93.5	88.91	64.9	70.48	85.88	24.66	65.5	45.21	48.22	66.79