Image Classification on N-Cars
91.9Top-1 AccuracytdBN (w/ NDA)
Evaluation results
| Method | Links | |
|---|---|---|
| tdBN (w/ NDA)Model=VGG-11, T Step=10, Resolution=128x1282022.03 | 91.9 | |
| tdBN (w/ NDA)Model=VGG-11, T Step=102022.03 | 90.1 | |
| tdBN (w/o NDA)Model=VGG-11, T Step=10, Resolution=128x128, Our implementation=true2022.03 | 87.4 | |
| tdBN (w/ NDA)Model=ResNet-19, T Step=10, Quadrupled channel number=true2022.03 | 87.2 | |
| CarSNNModel=4-layer CNN, T Step=10, Resolution=128x1282022.03 | 86 | |
| tdBN (w/o NDA)Model=VGG-11, T Step=10, Our implementation=true2022.03 | 84.4 | |
| tdBN (w/o NDA)Model=ResNet-19, T Step=10, Quadrupled channel number=true, Our implementation=true2022.03 | 82.4 | |
| HATSModel=N/A, T Step=102022.03 | 81 | |
| CarSNNModel=4-layer CNN, T Step=102022.03 | 77 | |
| HOTSModel=N/A, T Step=102022.03 | 54 |