Object Classification on MNIST-DVS (Accuracy and Efficiency)
99.4AccuracyAsyNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AsyNetRepresentation=Voxel-Grid, Asynchronous=✓, Parameters=3.69 M2024.06 | 99.4 | 112 | |
| EvS-SRepresentation=Graph, Asynchronous=✓, Parameters=0.36 - 1.16 M2024.06 | 99.1 | 15.2 | |
| RG-CNNsRepresentation=Graph, Asynchronous=✗, Parameters=5.10 M2024.06 | 98.6 | — | |
| NvS-SRepresentation=Graph, Asynchronous=✓, Parameters=0.36 - 1.16 M2024.06 | 98.6 | 10.1 | |
| HATSRepresentation=Time-Surface, Asynchronous=✓, Parameters=-2024.06 | 98.4 | 0.18 | |
| EFGCN-LRepresentation=Graph, Asynchronous=✓, Parameters=20.2 - 220.9 k2024.06 | 98.3 | 0.022 | |
| EFGCN-BRepresentation=Graph, Asynchronous=✓, Parameters=10.6 - 111.0 k2024.06 | 97.8 | 0.012 | |
| G-CNNsRepresentation=Graph, Asynchronous=✗, Parameters=4.93 M2024.06 | 97.4 | — | |
| EFGCN-SRepresentation=Graph, Asynchronous=✓, Parameters=5.2 - 55.5 k2024.06 | 96.4 | 0.006 | |
| YOLERepresentation=Voxel-Grid, Asynchronous=✓, Parameters=2.03 M2024.06 | 96.1 | — |