Classification on N-MNIST
99.7AccuracySECNet
Evaluation results
| Method | Links | |
|---|---|---|
| SECNetType=Event Cloud, Pretraining=None, Publication=Our2024.12 | 99.7 | |
| STSCT=102022.10 | 99.64 | |
| PLIFT=102022.10 | 99.61 | |
| RolloutT=322022.10 | 99.57 | |
| NeuNorm2022.10 | 99.53 | |
| VMV-GCNType=Voxel Graph, Pretraining=None, Publication=RAL’222024.12 | 99.5 | |
| VMST-NetType=Voxel Grid, Pretraining=None, Publication=TCSVT’242024.12 | 99.5 | |
| LISNNT=202022.10 | 99.45 | |
| EV-VGCNNType=Voxel Graph, Pretraining=None, Publication=CVPR’222024.12 | 99.4 | |
| EV-VGCNN2023.06 | 99.4 | |
| MVF-NetType=Frame, Pretraining=ImageNet, Publication=TCSVT’212024.12 | 99.3 | |
| ECSNetType=Frame, Pretraining=None, Publication=TCSVT’222024.12 | 99.2 | |
| ESTType=Frame, Pretraining=ImageNet, Publication=ICCV’192024.12 | 99.1 | |
| HATSType=Frame, Pretraining=None, Publication=CVPR’182024.12 | 99.1 | |
| EvS-S2023.06 | 99.1 | |
| HATS2023.06 | 99.1 | |
| Point-Voxel Absorbing Graph Representation Learning2023.06 | 99.1 | |
| ESTType=Frame, Pretraining=None, Publication=ICCV’192024.12 | 99 | |
| RG-CNNsType=Voxel Graph, Pretraining=None, Publication=TIP’202024.12 | 99 | |
| EST2023.06 | 99 | |
| RG-CNNs2023.06 | 99 | |
| M-LSTMType=Frame, Pretraining=ImageNet, Publication=ECCV’202024.12 | 98.9 | |
| M-LSTMType=Frame, Pretraining=None, Publication=ECCV’202024.12 | 98.6 | |
| M-LSTM2023.06 | 98.6 | |
| MVF-NetType=Frame, Pretraining=None, Publication=TCSVT’212024.12 | 98.1 | |
| MVF-Net2023.06 | 98.1 | |
| Hetero. RSNN2022.10 | 97.5 | |
| EV-Gait-3DGraph2023.06 | 96.6 | |
| PointNet++Type=Point Cloud, Pretraining=None, Publication=NIPS’172024.12 | 84.1 | |
| Gabor-SNNType=Frame, Pretraining=None, Publication=CVPR’182024.12 | 83.7 | |
| Gabor-SNN2023.06 | 83.7 | |
| EventNetType=Point Cloud, Pretraining=None, Publication=CVPR’192024.12 | 75.2 | |
| EventNet2023.06 | 75.2 |