Image Classification on CIFAR-100 (40:60 split)
66.44AccuracyMQ-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| MQ-NetNoise Ratio=10%2022.10 | 66.44 | |
| LLNoise Ratio=10%2022.10 | 65.08 | |
| MQ-NetNoise Ratio=20%2022.10 | 64.79 | |
| LLNoise Ratio=20%2022.10 | 64.04 | |
| CORESETNoise Ratio=10%2022.10 | 63.79 | |
| CONFNoise Ratio=10%2022.10 | 62.84 | |
| BADGENoise Ratio=10%2022.10 | 62.54 | |
| CORESETNoise Ratio=20%2022.10 | 62.02 | |
| BADGENoise Ratio=20%2022.10 | 61.28 | |
| CCALNoise Ratio=10%2022.10 | 61.2 | |
| CCALNoise Ratio=20%2022.10 | 61.16 | |
| RANDOMNoise Ratio=10%2022.10 | 60.88 | |
| CONFNoise Ratio=20%2022.10 | 60.2 | |
| SIMILARNoise Ratio=10%2022.10 | 60.07 | |
| SIMILARNoise Ratio=20%2022.10 | 59.89 | |
| RANDOMNoise Ratio=20%2022.10 | 59.69 | |
| MQ-NetNoise Ratio=40%2022.10 | 58.96 | |
| CCALNoise Ratio=40%2022.10 | 56.7 | |
| LLNoise Ratio=40%2022.10 | 56.27 | |
| CORESETNoise Ratio=40%2022.10 | 56.21 | |
| SIMILARNoise Ratio=40%2022.10 | 56.13 | |
| RANDOMNoise Ratio=40%2022.10 | 55.52 | |
| BADGENoise Ratio=40%2022.10 | 55.07 | |
| CONFNoise Ratio=40%2022.10 | 53.74 | |
| MQ-NetNoise Ratio=60%2022.10 | 52.82 | |
| SIMILARNoise Ratio=60%2022.10 | 50.61 | |
| CCALNoise Ratio=60%2022.10 | 50.2 | |
| LLNoise Ratio=60%2022.10 | 48.49 | |
| CORESETNoise Ratio=60%2022.10 | 48.33 | |
| BADGENoise Ratio=60%2022.10 | 47.6 | |
| RANDOMNoise Ratio=60%2022.10 | 47.37 | |
| CONFNoise Ratio=60%2022.10 | 45.38 |