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OCTMNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image SynthesisOCTMNIST
FID39.5
48
Medical Image ClassificationOCTMNIST
Accuracy91.7
47
ClassificationOCTMNIST
Accuracy80.37
34
Retinal Disease ClassificationOCTMNIST (test)
Accuracy82.4
20
ClassificationOCTMNIST
P10 Delta1.58
18
ClassificationOCTMNIST
Worst Delta0.0226
18
ClassificationOCTMNIST
Average Delta0.0013
18
Ocular Disease RecognitionOCTMNIST
Accuracy83
9
Open-Set RecognitionOCTMNIST t=3 (test)
Accuracy96.8
8
ClassificationOCTMNIST Linear Evaluation 100% ratio
Accuracy77.1
7
ClassificationOCTMNIST Linear Evaluation 10% ratio
Accuracy78.3
7
ClassificationOCTMNIST Linear Evaluation 1% ratio
Accuracy76.2
7
ClassificationOCTMNIST
Mean Client Accuracy (alpha=0.1)90.18
6
Image ClassificationOctMNIST (test)
Final Round Test Accuracy72.8
5
Wasserstein distance error bound estimationOCTMNIST
Fournier Error Bound58.87
1
Multi-Instance Learning ClassificationOCTMNIST v2 (test)
Metric-
0
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