Image Classification on CIFAR100 40:60 ID-to-OOD (test)
66.44AccuracyMQ-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| MQ-NetNoise Ratio=10%, AL Round=final2022.10 | 66.44 | |
| LLNoise Ratio=10%, AL Round=final2022.10 | 65.08 | |
| MQ-NetNoise Ratio=20%, AL Round=final2022.10 | 64.79 | |
| LLNoise Ratio=20%, AL Round=final2022.10 | 64.04 | |
| CORESETNoise Ratio=10%, AL Round=final2022.10 | 63.79 | |
| CONFNoise Ratio=10%, AL Round=final2022.10 | 62.84 | |
| BADGENoise Ratio=10%, AL Round=final2022.10 | 62.54 | |
| CORESETNoise Ratio=20%, AL Round=final2022.10 | 62.02 | |
| BADGENoise Ratio=20%, AL Round=final2022.10 | 61.28 | |
| CCALNoise Ratio=10%, AL Round=final2022.10 | 61.2 | |
| CCALNoise Ratio=20%, AL Round=final2022.10 | 61.16 | |
| RANDOMNoise Ratio=10%, AL Round=final2022.10 | 60.88 | |
| CONFNoise Ratio=20%, AL Round=final2022.10 | 60.2 | |
| SIMILARNoise Ratio=10%, AL Round=final2022.10 | 60.07 | |
| SIMILARNoise Ratio=20%, AL Round=final2022.10 | 59.89 | |
| RANDOMNoise Ratio=20%, AL Round=final2022.10 | 59.69 | |
| MQ-NetNoise Ratio=40%, AL Round=final2022.10 | 58.96 | |
| CCALNoise Ratio=40%, AL Round=final2022.10 | 56.7 | |
| LLNoise Ratio=40%, AL Round=final2022.10 | 56.27 | |
| CORESETNoise Ratio=40%, AL Round=final2022.10 | 56.21 | |
| SIMILARNoise Ratio=40%, AL Round=final2022.10 | 56.13 | |
| RANDOMNoise Ratio=40%, AL Round=final2022.10 | 55.52 | |
| BADGENoise Ratio=40%, AL Round=final2022.10 | 55.07 | |
| CONFNoise Ratio=40%, AL Round=final2022.10 | 53.74 | |
| MQ-NetNoise Ratio=60%, AL Round=final2022.10 | 52.82 | |
| SIMILARNoise Ratio=60%, AL Round=final2022.10 | 50.61 | |
| CCALNoise Ratio=60%, AL Round=final2022.10 | 50.2 | |
| LLNoise Ratio=60%, AL Round=final2022.10 | 48.49 | |
| CORESETNoise Ratio=60%, AL Round=final2022.10 | 48.33 | |
| BADGENoise Ratio=60%, AL Round=final2022.10 | 47.6 | |
| RANDOMNoise Ratio=60%, AL Round=final2022.10 | 47.37 | |
| CONFNoise Ratio=60%, AL Round=final2022.10 | 45.38 |