Image Classification on CIFAR-100 (IDN Accuracy Metrics)
69.17Accuracy (IDN-20%)JAL-SEM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| JAL-SEMPublication=Ours, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 69.17 | 64.95 | 53.08 | |
| ANL-SEMPublication=Ours, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 68.13 | 62.16 | 49.78 | |
| JALPublication=ICCV 2025, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 67.51 | 63.24 | 51.69 | |
| ANLPublication=NeurIPS 2023, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 66.89 | 60.88 | 48.12 | |
| NCE+RCEPublication=ICML 2020, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 64.33 | 57.53 | 40.36 | |
| GCEPublication=NeurIPS 2018, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 61.43 | 57.07 | 42.4 | |
| SCEPublication=ICCV 2019, Backbone=ResNet-34, Noise Type=instance-dependent (IDN)2025.08 | 56.32 | 39.82 | 23.19 |