Multivariate Regression on Vision&Touch
1.34MSECoMM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CoMMBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 1.34 | 0.98 | |
| PIDRegBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 1.53 | 0.98 | |
| MIBBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 3 | 0.97 | |
| MEIBBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 6.19 | 0.96 | |
| DERBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 498 | 0.85 | |
| MoNIGBackbone=ResNet-18, Encoder=five-layer causal convolutional network2025.12 | 3,408 | 0.82 |