Trajectory Prediction on ETH v1.0 (test)
0.39ADES-ATTN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| S-ATTNmode=deterministic2020.01 | 0.39 | 3.74 | |
| Trajectron++mode=probabilistic, output_type=Full, best_of_n_samples=202020.01 | 0.39 | 0.83 | |
| Trajectron++mode=probabilistic, output_type=Full, best_of_n_samples=20, integration_via_dynamics=true2020.01 | 0.43 | 0.86 | |
| Trajectronmode=probabilistic, best_of_n_samples=202020.01 | 0.59 | 1.14 | |
| CGNSprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.62 | 1.4 | |
| SR-LSTM-2probabilistic=false, input_frames=8, output_frames=122020.02 | 0.63 | 1.25 | |
| Social-STGCNNprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.64 | 1.11 | |
| GATprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.68 | 1.29 | |
| Social-BiGATprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.69 | 1.29 | |
| SoPhievariant=TA + IA, attention=Social + Visual, features=Visual + Social2018.06 | 0.7 | 1.43 | |
| SoPhieprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.7 | 1.43 | |
| SoPhiemode=probabilistic, best_of_n_samples=202020.01 | 0.7 | 1.43 | |
| SoPhievariant=To + IA, attention=Visual Only, features=Visual + Social2018.06 | 0.71 | 1.47 | |
| Trajectron++mode=deterministic, output_type=Most Likely (ML)2020.01 | 0.71 | 1.66 | |
| Trajectron++mode=deterministic, output_type=Most Likely (ML), integration_via_dynamics=true2020.01 | 0.71 | 1.68 | |
| PIFprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.73 | 1.65 | |
| STSGNprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.75 | 1.63 | |
| SoPhievariant=TA + Io, attention=Social Only, features=Visual + Social2018.06 | 0.76 | 1.54 | |
| S-GANmechanism=Generative Social Model2018.06 | 0.81 | 1.52 | |
| S-GANmode=probabilistic, best_of_n_samples=202020.01 | 0.81 | 1.52 | |
| SoPhievariant=To + Io, attention=None, features=Visual + Social2018.06 | 0.86 | 1.65 | |
| S-GAN-Pmechanism=Generative Social Model with Pooling2018.06 | 0.87 | 1.62 | |
| S-GAN-Pprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 0.87 | 1.62 | |
| SoPhievariant=TA, attention=Social Only, features=Social Only2018.06 | 0.9 | 1.6 | |
| MATFmode=probabilistic, best_of_n_samples=202020.01 | 1.01 | 1.75 | |
| LSTMtype=Simple LSTM2018.06 | 1.09 | 2.41 | |
| S-LSTMmechanism=Social Pooling2018.06 | 1.09 | 2.35 | |
| S-LSTMprobabilistic=true, best_of_n_samples=20, input_frames=8, output_frames=122020.02 | 1.09 | 2.35 | |
| LSTMmode=deterministic2020.01 | 1.09 | 2.41 | |
| S-LSTMmode=deterministic2020.01 | 1.09 | 2.35 | |
| Lintype=Linear Regression2018.06 | 1.33 | 2.94 | |
| Linearprobabilistic=false, input_frames=8, output_frames=122020.02 | 1.33 | 2.94 | |
| Linearmode=deterministic2020.01 | 1.33 | 2.94 |