Object Classification on N-Caltech101
87.1AccuracyMVF-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| MVF-NetType=Frame, Pretraining=ImageNet, Publication=TCSVT’212024.12 | 87.1 | |
| M-LSTMType=Frame, Pretraining=ImageNet, Publication=ECCV’202024.12 | 85.7 | |
| ESTType=Frame, Pretraining=ImageNet, Publication=ICCV’192024.12 | 83.7 | |
| MorphSNNArchitecture=DGD-SNN-7-3, T=52026.03 | 83.35 | |
| MorphSNNArchitecture=DGD-SNN-7-3, T=162026.03 | 82.74 | |
| SECNetType=Event Cloud, Pretraining=None, Publication=Our2024.12 | 82.4 | |
| VMST-NetType=Voxel Grid, Pretraining=None, Publication=TCSVT’242024.12 | 82.2 | |
| SpikingformerArchitecture=Spikingformer-2-256, T=52026.03 | 82.14 | |
| Spike-D- TransformerArchitecture=S-d-Transformer-2-256, T=162026.03 | 81.8 | |
| ESTMeasurement=time stamps, Kernel=learnt2019.04 | 81.7 | |
| CogniSNNArchitecture=ER-RGA-7, T=162026.03 | 81.32 | |
| SpikingReformerArchitecture=SpikingReformer-4-384, T=162026.03 | 81.29 | |
| EDGCNType=Voxel Graph, Pretraining=None, Publication=AAAI’242024.12 | 80.1 | |
| EVSTrType=Voxel Grid, Pretraining=None2024.12 | 79.7 | |
| ESTMeasurement=time stamps, Kernel=trilinear2019.04 | 78.7 | |
| CogniSNNArchitecture=WS-RGA-7, T=52026.03 | 78.62 | |
| Voxel GridMeasurement=polarity, Kernel=trilinear2019.04 | 78.5 | |
| SSNNArchitecture=VGG-9, T=52026.03 | 77.97 | |
| VMV-GCNType=Voxel Graph, Pretraining=None, Publication=RAL’222024.12 | 77.8 | |
| ESTType=Frame, Pretraining=None, Publication=ICCV’192024.12 | 75.3 | |
| EV-VGCNNType=Voxel Graph, Pretraining=None, Publication=CVPR’222024.12 | 74.8 | |
| AsyNetType=Frame, Pretraining=None, Publication=ECCV’202024.12 | 74.5 | |
| M-LSTMType=Frame, Pretraining=None, Publication=ECCV’202024.12 | 73.8 | |
| Two-Channel ImageMeasurement=count, Kernel=trilinear2019.04 | 71.3 | |
| MLFArchitecture=VGG-9, T=52026.03 | 70.4 | |
| ECSNetType=Frame, Pretraining=None, Publication=TCSVT’222024.12 | 69.3 | |
| HATS + ResNet-342019.04 | 69.1 | |
| MVF-NetType=Frame, Pretraining=None, Publication=TCSVT’212024.12 | 68.7 | |
| RG-CNNsType=Voxel Graph, Pretraining=None, Publication=TIP’202024.12 | 65.7 | |
| HATS2019.04 | 64.2 | |
| HATSType=Frame, Pretraining=None, Publication=CVPR’182024.12 | 64.2 | |
| PointNet++Type=Point Cloud, Pretraining=None, Publication=NIPS’172024.12 | 50.3 | |
| EventNetType=Point Cloud, Pretraining=None, Publication=CVPR’192024.12 | 42.5 | |
| HOTS2019.04 | 21 | |
| Gabor-SNN2019.04 | 19.6 | |
| Gabor-SNNType=Frame, Pretraining=None, Publication=CVPR’182024.12 | 19.6 | |
| H-First2019.04 | 5.4 |