Vehicle Classification on Digital World Vehicle Simulation Dataset 1.0 (test)
74.36AccuracyRaw
Evaluation results
| Method | Links | |
|---|---|---|
| RawTarget Architecture=Inception-V32021.03 | 74.36 | |
| RawTarget Architecture=ResNet-1522021.03 | 73.51 | |
| RawTarget Architecture=DenseNet2021.03 | 71.91 | |
| UPCTarget Architecture=DenseNet2021.03 | 65.87 | |
| MeshAdvTarget Architecture=DenseNet2021.03 | 58.04 | |
| CAMOUTarget Architecture=DenseNet2021.03 | 57.56 | |
| DASTarget Architecture=DenseNet2021.03 | 55.42 | |
| CAMOUTarget Architecture=ResNet-1522021.03 | 48.93 | |
| UPCTarget Architecture=ResNet-1522021.03 | 48.18 | |
| CAMOUTarget Architecture=Inception-V32021.03 | 47.51 | |
| UPCTarget Architecture=Inception-V32021.03 | 42.4 | |
| MeshAdvTarget Architecture=Inception-V32021.03 | 42.31 | |
| RawTarget Architecture=VGG-192021.03 | 40.62 | |
| DASTarget Architecture=Inception-V32021.03 | 39.86 | |
| UPCTarget Architecture=VGG-192021.03 | 38 | |
| MeshAdvTarget Architecture=ResNet-1522021.03 | 35.33 | |
| DASTarget Architecture=ResNet-1522021.03 | 32.49 | |
| MeshAdvTarget Architecture=VGG-192021.03 | 32.44 | |
| CAMOUTarget Architecture=VGG-192021.03 | 31.46 | |
| DASTarget Architecture=VGG-192021.03 | 30.18 |