Image Classification on Cross-Dataset Benchmark ResNet50 backbone (test) benchmark leaderboard · SOTA2 Research

Image Classification on Cross-Dataset Benchmark ResNet50 backbone (test)

19.89Accuracy (Aircraft)BCA

Evaluation Results

Method	Links
BCA2025.07		19.89	89.7	42.12	66.3	85.58	63.38	63.51	58.13	48.58	77.19	61.44
DPE2025.07		19.8	90.83	41.67	67.6	85.97	64.24	61.98	59.26	50.18	77.83	61.93
MS-TTA2025.07		19.23	88.52	47.61	68.94	86.02	63.05	64.68	59.61	43.97	78.85	62.05
BoostAdapter2025.07		18.93	88.48	44.4	68.25	85.75	62.83	64.42	59.67	43.85	78.78	61.54
HisTPT2025.07		18.1	87.2	42.5	67.6	84.9	63.5	64.1	61.3	41.3	81.3	61.18
TDA2025.07		17.61	89.7	42.11	68.74	86.18	62.53	64.18	57.78	43.74	77.75	61.03
DiffTPT2025.07		17.6	86.89	41.04	63.53	83.4	62.72	62.97	60.71	40.72	79.21	59.88
TPT2025.07		17.58	87.02	28.33	62.69	84.49	61.46	60.82	58.46	40.84	74.88	57.66
CLIP2025.07		16.11	87.26	25.79	62.77	82.97	60.85	59.48	55.89	40.37	74.82	56.63
CoOp2025.07		15.12	86.53	26.2	61.55	87	58.15	59.05	55.32	37.29	75.59	56.18
CoCoOp2025.07		14.61	86.38	28.73	65.57	88.39	59.61	57.1	56.22	38.53	76.2	57.13