Image Classification On Red Miniimagenet 80
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| InstanceGM | 39.62 | Instance-Dependent Noisy Label Learning via Graphical Modelling | |
| PropMix | 43.42 | PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels | |
| FaMUS | 35.5 | Faster Meta Update Strategy for Noise-Robust Deep Learning | |
| InstanceGM-SS | 44.03 | Instance-Dependent Noisy Label Learning via Graphical Modelling | |
| NCR (ResNet-18) | 51.2 | Learning with Neighbor Consistency for Noisy Labels |
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