Image Classification on CIFAR-10 (Calibration and Uncertainty Metrics) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 (Calibration and Uncertainty Metrics)

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Evaluation Results

Method	Links
VQ2026.05		0.0059	0.5595	0.0013	0.0037	88.9	0.348
LN2026.05		0.0079	0.6279	0.0017	0.0048	88.8	0.347
KC2026.05		0.0095	0.7923	0.0015	0.0054	89.3	0.34
DC2026.05		0.0099	0.8127	0.0011	0.0037	89	0.332
SM2026.05		0.0102	0.8027	0.0008	0.0037	89	0.333
IR2026.05		0.0115	0.7978	0.0014	0.0047	88.4	0.364
TS2026.05		0.0127	0.82	0.0036	0.0072	88.4	0.362
PC2026.05		0.0133	0.8339	0.0039	0.0085	88	0.377
NC2026.05		0.0154	0.8729	0.0066	0.0153	88.38	0.4943
PS2026.05		0.018	0.8542	0.0014	0.0085	88.4	0.466