Image Classification on ImageNet ID-to-OOD 50:950 (test)
65.36AccuracyMQ-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| MQ-NetNoise Ratio=10%, AL Round=final2022.10 | 65.36 | |
| BADGENoise Ratio=10%, AL Round=final2022.10 | 64.84 | |
| SIMILARNoise Ratio=10%, AL Round=final2022.10 | 63.92 | |
| CORESETNoise Ratio=10%, AL Round=final2022.10 | 63.64 | |
| CONFNoise Ratio=10%, AL Round=final2022.10 | 63.56 | |
| LLNoise Ratio=10%, AL Round=final2022.10 | 63.28 | |
| MQ-NetNoise Ratio=20%, AL Round=final2022.10 | 63.08 | |
| RANDOMNoise Ratio=10%, AL Round=final2022.10 | 62.72 | |
| CONFNoise Ratio=20%, AL Round=final2022.10 | 62.56 | |
| CORESETNoise Ratio=20%, AL Round=final2022.10 | 62.24 | |
| CCALNoise Ratio=10%, AL Round=final2022.10 | 61.68 | |
| LLNoise Ratio=20%, AL Round=final2022.10 | 61.56 | |
| BADGENoise Ratio=20%, AL Round=final2022.10 | 61.48 | |
| SIMILARNoise Ratio=20%, AL Round=final2022.10 | 61.4 | |
| CCALNoise Ratio=20%, AL Round=final2022.10 | 60.7 | |
| RANDOMNoise Ratio=20%, AL Round=final2022.10 | 60.12 | |
| MQ-NetNoise Ratio=40%, AL Round=final2022.10 | 56.95 | |
| CCALNoise Ratio=40%, AL Round=final2022.10 | 56.6 | |
| SIMILARNoise Ratio=40%, AL Round=final2022.10 | 56.48 | |
| LLNoise Ratio=40%, AL Round=final2022.10 | 55.68 | |
| CORESETNoise Ratio=40%, AL Round=final2022.10 | 55.32 | |
| MQ-NetNoise Ratio=60%, AL Round=final2022.10 | 54.11 | |
| RANDOMNoise Ratio=40%, AL Round=final2022.10 | 54.04 | |
| BADGENoise Ratio=40%, AL Round=final2022.10 | 54.04 | |
| SIMILARNoise Ratio=60%, AL Round=final2022.10 | 52.84 | |
| CCALNoise Ratio=60%, AL Round=final2022.10 | 51.16 | |
| CONFNoise Ratio=40%, AL Round=final2022.10 | 51.08 | |
| CORESETNoise Ratio=60%, AL Round=final2022.10 | 49.04 | |
| RANDOMNoise Ratio=60%, AL Round=final2022.10 | 48.24 | |
| BADGENoise Ratio=60%, AL Round=final2022.10 | 47.8 | |
| LLNoise Ratio=60%, AL Round=final2022.10 | 47.3 | |
| CONFNoise Ratio=60%, AL Round=final2022.10 | 45.04 |