Image Classification on ASL-DVS (test)
99.6AccuracyMVF-Net
Evaluation results
| Method | Links | |
|---|---|---|
| MVF-NetPre-training=Pretrained on ImageNet [9], Backbone=ResNet-34 [21]2021.06 | 99.6 | |
| M-LSTMPre-training=Pretrained on ImageNet [9], Backbone=ResNet-34 [21]2021.06 | 99.2 | |
| ESTPre-training=Pretrained on ImageNet [9], Backbone=ResNet-34 [21]2021.06 | 99.1 | |
| EV-VGCNNPre-training=Without pretraining2021.06 | 98.3 | |
| EV-VGCNN (Ours)2021.06 | 98.3 | |
| M-LSTMPre-training=Without pretraining, Backbone=ResNet-34 [21]2021.06 | 98 | |
| ESTPre-training=Without pretraining, Backbone=ResNet-34 [21]2021.06 | 97.9 | |
| MVF-NetPre-training=Without pretraining, Backbone=ResNet-34 [21]2021.06 | 97.1 | |
| EV-VGCNN (Ours)Variation=w/ SFRL2021.06 | 96.2 | |
| PointNet++Input representation=Proposed representation2021.06 | 95.6 | |
| EventNet2021.06 | 94.9 | |
| PointNet++Input representation=Point-wise2021.06 | 94.7 | |
| RG-CNNs2021.06 | 90.1 |