We are currently looking for transformer-based forecasting models that work well on the ETH-UCY dataset. Do you know how AutoBots performs on the ETH-UCY dataset?
We tried to adapt your TrajNet++ dataloader to the ETH-UCY and experimented with some HPs. The results that we obtained so far are, however, not very competitive. In particular, AutoBots seems quite prone to overfitting, under the standard ETH-UCY data split. Just wondering if this is normal? Do you have any suggestions for tailoring AutoBots to the ETH-UCY dataset?
Thank you for open-sourcing your great work!
We are currently looking for transformer-based forecasting models that work well on the ETH-UCY dataset. Do you know how AutoBots performs on the ETH-UCY dataset?
We tried to adapt your TrajNet++ dataloader to the ETH-UCY and experimented with some HPs. The results that we obtained so far are, however, not very competitive. In particular, AutoBots seems quite prone to overfitting, under the standard ETH-UCY data split. Just wondering if this is normal? Do you have any suggestions for tailoring AutoBots to the ETH-UCY dataset?