Few-shot classification on OOD Datasets (test) benchmark leaderboard · SOTA2 Research

Few-shot classification on OOD Datasets (test)

91.33Accuracy (Traffic Signs)SMAT

Evaluation Results

Method	Links
SMAT2024.03		91.33	63.11	92.21	86.12	96.73	56.67	91.97	65.79	66.99	42.39	75.32
SMAT2024.03		90.18	63.38	92.46	85.88	96.46	55.63	92.31	66.07	67.77	40.05	75.02
SoftMerge2024.03		89.91	62.15	91.84	85.88	96.2	53.85	90.48	65.5	63.36	41.62	74.08
PMF2024.03		89.14	61.71	91.53	85.06	96.41	47.59	92.01	60.6	62.71	42.37	72.91
PMF2024.03		88.85	62.59	89.61	82.54	96.44	49.65	91.73	62.83	62.97	40.07	72.73
Pre-trained2024.03		88.1	62.1	93.33	86.17	94.98	57.34	92.06	66.51	65.06	39.49	74.51
Pre-trained2024.03		87.3	61.5	92.48	86.13	92.54	56.39	92.03	67.18	65.08	40.98	74.16
SMAT2024.03		57.72	58.81	87.05	77.46	94.43	47.76	91.97	58.97	65.59	36.79	67.65
SoftMerge2024.03		56.21	55.75	84.58	70.85	94.16	43.3	89.84	54.83	63.04	36.21	64.87
PMF2024.03		54.37	57.04	80.82	69.11	93.33	41.1	91.37	53.92	61.89	38	64.1
Pre-trained2024.03		53.7	54.58	85.64	76.86	78.57	47.25	91.73	55.19	62.64	34.58	64.07