Trajectory Forecasting on ETH-UCY hotel original
0.1ADEE-V2-Net-SC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| E-V2-Net-SCbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.1 | 0.13 | |
| SocialMOIFbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.1 | 0.12 | |
| V2-Net-SCbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.11 | 0.16 | |
| EqMotionbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.12 | 0.16 | |
| MemoNetbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.14 | 0.2 | |
| Agent-formerbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.15 | 0.24 | |
| MANTRAbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.17 | 0.32 | |
| BiTrapbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.17 | 0.32 | |
| MTNbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.19 | 0.57 | |
| ST-MRbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.2 | 0.31 | |
| FLEAMbest-of-20 predictions=true, cross-validation=leave-one-out2025.04 | 0.37 | 0.64 | |
| InvariantBackbone Architecture=STGAT, Number of sampled trajectories=12021.11 | 0.457 | 0.918 | |
| CounterfactualBackbone Architecture=STGAT, Number of sampled trajectories=12021.11 | 0.512 | 1.029 | |
| Vanilla (ERM)Backbone Architecture=STGAT, Number of sampled trajectories=12021.11 | 0.536 | 1.088 |