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SIIM-ISIC Melanoma Classification 2020

Inoichan
September 01, 2020

SIIM-ISIC Melanoma Classification 2020

2020 SIIM-ISIC Melanoma Classification
Competition link: https://www.kaggle.com/c/siim-isic-melanoma-classification

Inoichan

September 01, 2020
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  1. My approach summary Region model EfficientNetB3 TPU models EfficientNets TPU

    models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models Effnets Crop-model RegNet16, 80 Crop model RegNet16, 80 Patch-Attention-model RegNets Patch-Attention-model RegNets Patch-Attention-model RegNets Patch Attention model Effnets, RegNets Ridge Stacking TPU models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models EfficientNets TPU models Effnets Ridge Stacking
  2. 2nd place (link) → EfficientNet-B6, 512x512, BS64, no metadata (CV

    0.9336 / public 0.9534) EfficientNet-B7, 640x640, BS32, gradient accumulation 2, no metadata (CV 0.9389 / public 0.9525) Model 1, trained on combined training and pseudolabeled test data (CV 0.9438 / public 0.9493)
  3. 2nd place (link) → EfficientNet-B6, 512x512, BS64, no metadata (CV

    0.9336 / public 0.9534) EfficientNet-B7, 640x640, BS32, gradient accumulation 2, no metadata (CV 0.9389 / public 0.9525) Model 1, trained on combined training and pseudolabeled test data (CV 0.9438 / public 0.9493)