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Medical Image Classification on OrgancMnist MedMnist (test)

93.7Test AccuracyCUFIT
41.07654.73868.482.062Nov 29, 2024
Updated 8mo ago

Evaluation results

MethodLinks
CUFITNoise rate=0.12024.1193.7
CUFITNoise rate=0.22024.1193.6
Co-teachingNoise rate=0.12024.1192.1
JoCorNoise rate=0.12024.1192.1
CoDisNoise rate=0.12024.1192.1
JoCorNoise rate=0.22024.1191.9
CUFITNoise rate=0.42024.1191.6
CUFITNoise rate=Mean2024.1191.6
Co-teachingNoise rate=0.22024.1190.9
CoDisNoise rate=0.22024.1190.7
JoCorNoise rate=Mean2024.1188
Co-teachingNoise rate=Mean2024.1187.9
CoDisNoise rate=Mean2024.1187.6
ReinNoise rate=0.12024.1187.4
CUFITNoise rate=0.62024.1187.4
Co-teachingNoise rate=0.42024.1185.8
CoDisNoise rate=0.42024.1185.8
Full-trainingNoise rate=0.12024.1185.3
JoCorNoise rate=0.42024.1185.3
Linear probingNoise rate=0.12024.1183.3
Linear probingNoise rate=0.22024.1182.9
Co-teachingNoise rate=0.62024.1182.8
JoCorNoise rate=0.62024.1182.6
ReinNoise rate=0.22024.1182
CoDisNoise rate=0.62024.1181.9
Full-trainingNoise rate=0.22024.1179.9
Linear probingNoise rate=0.42024.1179.9
Linear probingNoise rate=Mean2024.1179.6
Full-trainingNoise rate=Mean2024.1175.5
Linear probingNoise rate=0.62024.1172.2
Full-trainingNoise rate=0.42024.1172.1
ReinNoise rate=Mean2024.1169.1
Full-trainingNoise rate=0.62024.1164.5
ReinNoise rate=0.42024.1163.8
ReinNoise rate=0.62024.1143.1