Image Classification on CIFAR10 4:6 ID-to-OOD (test)
93.1AccuracyMQ-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| MQ-NetNoise Ratio=10%, AL Round=final2022.10 | 93.1 | |
| CONFNoise Ratio=10%, AL Round=final2022.10 | 92.83 | |
| BADGENoise Ratio=10%, AL Round=final2022.10 | 92.8 | |
| MQ-NetNoise Ratio=20%, AL Round=final2022.10 | 92.1 | |
| LLNoise Ratio=10%, AL Round=final2022.10 | 92.09 | |
| CORESETNoise Ratio=10%, AL Round=final2022.10 | 91.76 | |
| BADGENoise Ratio=20%, AL Round=final2022.10 | 91.73 | |
| CONFNoise Ratio=20%, AL Round=final2022.10 | 91.72 | |
| MQ-NetNoise Ratio=40%, AL Round=final2022.10 | 91.48 | |
| LLNoise Ratio=20%, AL Round=final2022.10 | 91.21 | |
| CORESETNoise Ratio=20%, AL Round=final2022.10 | 91.06 | |
| CCALNoise Ratio=10%, AL Round=final2022.10 | 90.55 | |
| CCALNoise Ratio=20%, AL Round=final2022.10 | 89.99 | |
| SIMILARNoise Ratio=10%, AL Round=final2022.10 | 89.92 | |
| RANDOMNoise Ratio=10%, AL Round=final2022.10 | 89.83 | |
| MQ-NetNoise Ratio=60%, AL Round=final2022.10 | 89.51 | |
| LLNoise Ratio=40%, AL Round=final2022.10 | 89.41 | |
| BADGENoise Ratio=40%, AL Round=final2022.10 | 89.27 | |
| SIMILARNoise Ratio=20%, AL Round=final2022.10 | 89.19 | |
| CORESETNoise Ratio=40%, AL Round=final2022.10 | 89.12 | |
| RANDOMNoise Ratio=20%, AL Round=final2022.10 | 89.06 | |
| CCALNoise Ratio=40%, AL Round=final2022.10 | 88.87 | |
| CONFNoise Ratio=40%, AL Round=final2022.10 | 88.69 | |
| SIMILARNoise Ratio=40%, AL Round=final2022.10 | 88.53 | |
| RANDOMNoise Ratio=40%, AL Round=final2022.10 | 87.73 | |
| CCALNoise Ratio=60%, AL Round=final2022.10 | 87.49 | |
| SIMILARNoise Ratio=60%, AL Round=final2022.10 | 87.38 | |
| LLNoise Ratio=60%, AL Round=final2022.10 | 86.95 | |
| BADGENoise Ratio=60%, AL Round=final2022.10 | 86.83 | |
| CORESETNoise Ratio=60%, AL Round=final2022.10 | 86.5 | |
| RANDOMNoise Ratio=60%, AL Round=final2022.10 | 85.64 | |
| CONFNoise Ratio=60%, AL Round=final2022.10 | 85.43 |