Stochastic Trajectory Prediction on ZARA1 ETH-UCY (test)
0.17ADEGP-Graph
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GP-GraphNumber of samples (S)=202024.03 | 0.17 | 0.31 | |
| SocialVAENumber of samples (S)=202024.03 | 0.17 | 0.29 | |
| MGFM=202024.02 | 0.17 | 0.29 | |
| AgentFormerNumber of samples (S)=202024.03 | 0.18 | 0.3 | |
| NPSNNumber of samples (S)=202024.03 | 0.18 | 0.32 | |
| EqMotionNumber of samples (S)=202024.03 | 0.18 | 0.32 | |
| LEDNumber of samples (S)=202024.03 | 0.18 | 0.26 | |
| AgentFormerM=202024.02 | 0.18 | 0.3 | |
| EqMotionM=202024.02 | 0.18 | 0.32 | |
| EigenTrajectoryNumber of samples (S)=202024.03 | 0.19 | 0.33 | |
| SingularTrajectoryNumber of samples (S)=202024.03 | 0.19 | 0.32 | |
| LBEBMNumber of samples (S)=202024.03 | 0.21 | 0.39 | |
| GroupNetNumber of samples (S)=202024.03 | 0.21 | 0.39 | |
| GroupNetM=202024.02 | 0.21 | 0.39 | |
| PECNetM=202024.02 | 0.22 | 0.39 | |
| FlowChainM=202024.02 | 0.22 | 0.4 | |
| Trajectron++Number of samples (S)=202024.03 | 0.24 | 0.41 | |
| Trajectron++M=202024.02 | 0.24 | 0.41 | |
| PECNetNumber of samples (S)=202024.03 | 0.25 | 0.45 | |
| STARNumber of samples (S)=202024.03 | 0.26 | 0.57 | |
| MIDNumber of samples (S)=202024.03 | 0.28 | 0.5 | |
| MIDM=202024.02 | 0.29 | 0.51 | |
| STGCNNNumber of samples (S)=202024.03 | 0.34 | 0.53 | |
| STGATM=202024.02 | 0.34 | 0.69 | |
| Social-STGCNNM=202024.02 | 0.34 | 0.53 | |
| Social-GANNumber of samples (S)=202024.03 | 0.35 | 0.68 | |
| Social-GANM=202024.02 | 0.35 | 0.68 |