Image Classification on Cross-Dataset Benchmark ViT-B/16 backbone (test) benchmark leaderboard · SOTA2 Research

Image Classification on Cross-Dataset Benchmark ViT-B/16 backbone (test)

28.95Aircraft AccuracyDPE

Evaluation Results

Method	Links
DPE2025.07		28.95	94.81	55.79	75.07	91.14	70.07	70.44	67.31	54.2	86.17	69.4
BCA2025.07		28.59	94.69	56.63	73.12	90.43	68.41	67.59	66.86	53.49	85.97	68.59
MS-TTA2025.07		27.78	95.01	65.21	73.2	90.11	68.42	72.38	69.49	45.86	87.38	69.48
BoostAdapter2025.07		27.45	94.77	61.22	71.66	89.51	68.09	71.93	69.3	45.69	87.17	68.68
HisTPT2025.07		26.9	94.5	49.7	71.2	89.1	67.2	70.1	69.2	48.9	89.3	67.61
DiffTPT2025.07		25.6	92.49	43.13	70.1	88.22	65.74	62.67	67.01	47	87.23	64.92
MTA2025.07		25.32	94.13	38.71	68.26	88.22	64.98	68.11	68.05	45.59	84.95	64.63
MTA+Ensemble2025.07		25.2	94.21	45.36	68.06	88.24	66.67	68.69	68.47	45.9	85	65.58
TPT2025.07		24.78	94.16	42.44	68.98	87.79	65.5	68.04	66.87	47.75	84.67	65.1
TDA2025.07		23.91	94.24	58	71.42	88.63	67.62	70.66	67.28	47.4	86.14	67.53
CLIP2025.07		23.22	93.55	50.42	66.99	86.92	65.63	65.16	66.11	45.04	82.86	64.59
CoCoOp2025.07		22.29	93.79	39.23	70.85	90.46	66.89	68.44	64.9	45.45	83.97	64.63
CoOp2025.07		18.47	93.7	46.39	68.71	89.14	64.15	66.55	64.51	41.92	85.3	63.88