Trajectory Prediction on UNIV v1.0 (test)
0.43ADESocial-WaGDAT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Social-WaGDAT2020.02 | 0.43 | 1.12 | |
| Social-STGCNNprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.44 | 0.79 | |
| CGNSprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.48 | 1.22 | |
| STSGNprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.48 | 1.08 | |
| SoPhievariant=TA2018.06 | 0.49 | 1.19 | |
| SR-LSTM-2probabilistic=false, input_frames=8, output_frames=122020.02 | 0.51 | 1.1 | |
| SoPhievariant=TA + IA2018.06 | 0.54 | 1.24 | |
| SoPhieNumber of output samples=202019.02 | 0.54 | 1.24 | |
| SoPhie2020.02 | 0.54 | 1.24 | |
| SoPhieprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.54 | 1.24 | |
| SoPhievariant=To + IA2018.06 | 0.55 | 1.23 | |
| SoPhievariant=TA + Io2018.06 | 0.55 | 1.25 | |
| S-Ways2020.02 | 0.55 | 1.31 | |
| Social-BiGATprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.55 | 1.32 | |
| GATprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.57 | 1.29 | |
| SoPhievariant=To + Io2018.06 | 0.58 | 1.27 | |
| S-GAN2018.06 | 0.6 | 1.26 | |
| Social GAN (V)Number of output samples=202019.02 | 0.6 | 1.26 | |
| NextNumber of output samples=202019.02 | 0.6 | 1.27 | |
| S-GAN2020.02 | 0.6 | 1.26 | |
| PIFprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.6 | 1.27 | |
| LSTM2018.06 | 0.61 | 1.31 | |
| LSTMNumber of output samples=12019.02 | 0.61 | 1.31 | |
| NextNumber of output samples=12019.02 | 0.62 | 1.32 | |
| P-LSTM2020.02 | 0.63 | 1.36 | |
| S-LSTM2018.06 | 0.67 | 1.4 | |
| Social LSTMNumber of output samples=12019.02 | 0.67 | 1.4 | |
| S-LSTM2020.02 | 0.67 | 1.4 | |
| S-LSTMprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.67 | 1.4 | |
| S-GAN-P2018.06 | 0.76 | 1.52 | |
| Social GAN (PV)Number of output samples=202019.02 | 0.76 | 1.52 | |
| S-GAN-P2020.02 | 0.76 | 1.52 | |
| S-GAN-Pprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.76 | 1.52 | |
| Lin2018.06 | 0.82 | 1.59 | |
| LinearNumber of output samples=12019.02 | 0.82 | 1.59 | |
| LR2020.02 | 0.82 | 1.59 | |
| Linearprobabilistic=false, input_frames=8, output_frames=122020.02 | 0.82 | 1.59 |