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Medical Image Classification on APTOS 2019 (test)

84.8Test AccuracyJoCor
40.28851.84463.474.956Nov 29, 2024
Updated 8mo ago

Evaluation results

MethodLinks
JoCorNoise rate=0.12024.1184.8
CUFITNoise rate=0.12024.1184.2
CUFITNoise rate=0.22024.1184.2
CoDisNoise rate=0.12024.1183.2
JoCorNoise rate=0.22024.1183.1
Co-teachingNoise rate=0.12024.1182.8
ReinNoise rate=0.12024.1182.5
CoDisNoise rate=0.22024.1182
CUFITNoise rate=0.42024.1181.6
CUFITNoise rate=Mean2024.1181.6
Co-teachingNoise rate=0.22024.1181.2
CoDisNoise rate=Mean2024.1180.1
Linear probingNoise rate=0.42024.1179.5
Co-teachingNoise rate=0.42024.1179.5
CoDisNoise rate=0.42024.1179.5
JoCorNoise rate=Mean2024.1179.5
Linear probingNoise rate=0.22024.1179.4
Linear probingNoise rate=0.12024.1179.2
Co-teachingNoise rate=Mean2024.1179.1
ReinNoise rate=0.22024.1178.7
ReinNoise rate=0.42024.1177.2
CUFITNoise rate=0.62024.1176.3
Linear probingNoise rate=Mean2024.1176.3
JoCorNoise rate=0.42024.1176
CoDisNoise rate=0.62024.1175.7
JoCorNoise rate=0.62024.1174.2
Co-teachingNoise rate=0.62024.1172.9
Full-trainingNoise rate=0.42024.1169.9
ReinNoise rate=Mean2024.1168.9
Linear probingNoise rate=0.62024.1166.9
Full-trainingNoise rate=0.12024.1166.8
Full-trainingNoise rate=0.22024.1165.9
Full-trainingNoise rate=Mean2024.1162.7
Full-trainingNoise rate=0.62024.1148.2
ReinNoise rate=0.62024.1142