Image Classification on CIFAR-10 (IDN Accuracy Evaluation)
90.53Accuracy (IDN-20%)JAL-SEM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JAL-SEMPublication=Ours, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 90.53 | 87.34 | 76.68 | |
| ANL-SEMPublication=Ours, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 90.46 | 86.53 | 70.91 | |
| JALPublication=ICCV 2025, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 90.01 | 86.46 | 75.62 | |
| ANLPublication=NeurIPS 2023, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 89.71 | 85.74 | 69.83 | |
| NCE+RCEPublication=ICML 2020, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 89.06 | 85.11 | 71.27 | |
| GCEPublication=NeurIPS 2018, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 86.66 | 79.99 | 51.9 | |
| SCEPublication=ICCV 2019, Backbone=8-layer CNN, Noise Type=instance-dependent (IDN)2025.08 | 86.65 | 74.54 | 49.83 |