Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images

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Benchmark Model Rank Results
retinal-oct-disease-classification-on-oct2017Joint-Attention-Network MobileNet-v2#11Acc: 95.6
retinal-oct-disease-classification-on-oct2017Joint-Attention-Network ResNet50-v1#14Acc: 92.4
retinal-oct-disease-classification-on-oct2017Joint-Attention-Network OpticNet-71#15Acc: 77.4
retinal-oct-disease-classification-on-srinivasan2014Joint-Attention-Network ResNet50-v1#2Acc: 100
retinal-oct-disease-classification-on-srinivasan2014Joint-Attention-Network OpticNet-71#3Acc: 99.68
retinal-oct-disease-classification-on-srinivasan2014Joint-Attention-Network MobileNet-v2#6Acc: 99.36

Rank counts only results with a code link.