TTC forecasting on DoTA
1.711MSECollideNet
Evaluation results
| Method | Links | |
|---|---|---|
| CollideNetTraining=CCD2026.04 | 1.711 | |
| CollideNetBackbone=Multi-scale ViT2026.04 | 1.75 | |
| CollideNetTraining=DAD2026.04 | 1.761 | |
| VGG-16Backbone=VGG-162026.04 | 1.78 | |
| CNN-RNNBackbone=EfficientNet2026.04 | 1.79 | |
| VidNeXtBackbone=ConvNeXt2026.04 | 1.89 | |
| TimeSformerBackbone=Vision Transformer2026.04 | 1.98 | |
| Video-FocalNetTraining=DAD2026.04 | 1.984 | |
| VidNeXtTraining=CCD2026.04 | 1.988 | |
| Video-FocalNetBackbone=Focal Mod. Net2026.04 | 2 | |
| VidNeXtTraining=DAD2026.04 | 2.02 | |
| Video Swin Trans.Backbone=Swin Transformer2026.04 | 2.03 | |
| Video-FocalNetTraining=CCD2026.04 | 2.047 | |
| ResNet50 3DBackbone=3D ConvNet2026.04 | 2.11 | |
| ViViTBackbone=Vision Transformer2026.04 | 2.13 | |
| HyCTBackbone=CNN-Transformer2026.04 | 2.13 | |
| X3DBackbone=3D ConvNet2026.04 | 2.21 | |
| Li3DBackbone=3D ConvNet2026.04 | 2.45 | |
| C3DBackbone=3D ConvNet2026.04 | 3.59 |