Object Detection on Noisy Pascal VOC NR 80% → Clipart1k
36AP (Aero)DAF + NLTE
Evaluation results
| Method | Links | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DAF + NLTEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=80%2022.04 | 36 | 45.4 | 33.5 | 30.3 | 27.3 | 40.5 | 40.6 | 2.6 | 28.3 | 51.7 | 20.4 | 9.5 | 30.8 | 43.1 | 56.6 | 42.1 | 17.7 | 23.3 | 31.2 | 38.4 | 32.5 | 4 | |
| DAFBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=80%2022.04 | 28.2 | 34 | 29.6 | 20.8 | 27.7 | 45 | 34.4 | 1.4 | 31.5 | 34.1 | 19.9 | 9.3 | 26.2 | 33.3 | 46 | 37.4 | 17.5 | 20.4 | 30.6 | 41.9 | 28.5 | 0 | |
| DAF + GCEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=80%2022.04 | 25.8 | 32.8 | 29.2 | 21.1 | 28.8 | 50 | 33.5 | 1.3 | 28.9 | 34.1 | 21.7 | 7.7 | 27.2 | 46.8 | 50.1 | 37.9 | 7.3 | 20.2 | 42.5 | 36 | 29.1 | 0.6 | |
| DAF + CPBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=80%2022.04 | 25.2 | 36.1 | 27.5 | 29.8 | 32.5 | 29.1 | 34.3 | 3.2 | 31.4 | 37.7 | 22.3 | 7.6 | 30.4 | 36.5 | 46.8 | 35.4 | 19.9 | 27 | 29.6 | 39.1 | 29.1 | 0.6 | |
| DAF + SCEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=80%2022.04 | 19.5 | 32.9 | 28.9 | 23.1 | 34.3 | 50.6 | 31.5 | 4.3 | 29.5 | 35.9 | 19.5 | 12.6 | 23.9 | 56.2 | 52.6 | 38 | 8.2 | 21.7 | 41.8 | 35.5 | 30 | 1.5 |