Image Classification on PathMNIST (BP/MF Metrics) benchmark leaderboard · SOTA2 Research

Image Classification on PathMNIST (BP/MF Metrics)

88.89BP Top-1 AccuracyBackpropagation

Evaluation Results

Method	Links
Backpropagation2025.01		88.89	—	—	99.51	—	—	1.801	—	—
Backpropagation2025.01		88.86	—	—	99.49	—	—	1.148	—	—
Backpropagation2025.01		88.63	—	—	99.23	—	—	0.547	—	—
Backpropagation2025.01		88.22	—	—	99.45	—	—	0.798	—	—
Backpropagation2025.01		87.62	—	—	99.51	—	—	0.359	—	—
Backpropagation2025.01		87.49	—	—	99.44	—	—	2.668	—	—
Mono-Forward2025.01		—	89.32	1.71	—	99.84	0.33	—	0.148	0.41
Mono-Forward2025.01		—	88.56	-0.3	—	99.75	0.26	—	0.478	0.42
Mono-Forward2025.01		—	89.49	0.86	—	99.76	0.53	—	0.171	0.31
Mono-Forward2025.01		—	88.51	-0.38	—	99.76	0.25	—	0.573	0.32
Mono-Forward2025.01		—	88.81	0.59	—	99.74	0.29	—	0.204	0.26
Mono-Forward2025.01		—	88.72	1.23	—	99.62	0.19	—	0.7	0.26