Trajectory Prediction on ZARA2 (test)
0.1ADE (4.8s)BiTrap-NP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BiTrap-NPBest of=202021.03 | 0.1 | 0.21 | — | — | — | |
| SGNet-EDBest of=202021.03 | 0.1 | 0.21 | — | — | — | |
| BiTrap-GMMBest of=202021.03 | 0.11 | 0.22 | — | — | — | |
| Trajectron++Best of=202021.03 | 0.12 | 0.25 | — | — | — | |
| EqMotionNumber of samples (S)=202024.03 | 0.13 | 0.23 | — | — | — | |
| SocialVAENumber of samples (S)=202024.03 | 0.13 | 0.22 | — | — | — | |
| LEDNumber of samples (S)=202024.03 | 0.13 | 0.22 | — | — | — | |
| EqMotionM=202024.02 | 0.13 | 0.23 | — | — | — | |
| AgentFormerNumber of samples (S)=202024.03 | 0.14 | 0.24 | — | — | — | |
| NPSNNumber of samples (S)=202024.03 | 0.14 | 0.25 | — | — | — | |
| EigenTrajectoryNumber of samples (S)=202024.03 | 0.14 | 0.24 | — | — | — | |
| AgentFormerM=202024.02 | 0.14 | 0.24 | — | — | — | |
| MGFM=202024.02 | 0.14 | 0.24 | — | — | — | |
| EigenTrajectoryFew-shot=10% training data2024.03 | 0.15 | 0.27 | — | — | — | |
| LBEBMNumber of samples (S)=202024.03 | 0.15 | 0.3 | — | — | — | |
| GP-GraphNumber of samples (S)=202024.03 | 0.15 | 0.29 | — | — | — | |
| SingularTrajectoryNumber of samples (S)=202024.03 | 0.15 | 0.25 | — | — | — | |
| PECNetBest of=202021.03 | 0.17 | 0.3 | — | — | — | |
| GroupNetNumber of samples (S)=202024.03 | 0.17 | 0.33 | — | — | — | |
| PECNetM=202024.02 | 0.17 | 0.3 | — | — | — | |
| GroupNetM=202024.02 | 0.17 | 0.33 | — | — | — | |
| SingularTrajectoryFew-shot=10% training data2024.03 | 0.18 | 0.31 | — | — | — | |
| Trajectron++Number of samples (S)=202024.03 | 0.18 | 0.32 | — | — | — | |
| Trajectron++M=202024.02 | 0.18 | 0.32 | — | — | — | |
| PECNetNumber of samples (S)=202024.03 | 0.19 | 0.33 | — | — | — | |
| MIDNumber of samples (S)=202024.03 | 0.2 | 0.37 | — | — | — | |
| MIDM=202024.02 | 0.2 | 0.38 | — | — | — | |
| FlowChainM=202024.02 | 0.2 | 0.34 | — | — | — | |
| STARBest of=202021.03 | 0.22 | 0.46 | — | — | — | |
| PECNetFew-shot=10% training data2024.03 | 0.22 | 0.38 | — | — | — | |
| MIDFew-shot=10% training data2024.03 | 0.24 | 0.42 | — | — | — | |
| STARNumber of samples (S)=202024.03 | 0.25 | 0.58 | — | — | — | |
| MATF GANBest of=202021.03 | 0.26 | 0.57 | — | — | — | |
| DSCMPBest of=202021.03 | 0.28 | 0.6 | — | — | — | |
| STGATM=202024.02 | 0.29 | 0.6 | — | — | — | |
| STGCNNNumber of samples (S)=202024.03 | 0.3 | 0.48 | — | — | — | |
| Social-STGCNNM=202024.02 | 0.3 | 0.48 | — | — | — | |
| FvTrajBest of=202021.03 | 0.32 | 0.68 | — | — | — | |
| CGNSBest of=202021.03 | 0.35 | 0.71 | — | — | — | |
| SophieBest of=202021.03 | 0.38 | 0.78 | — | — | — | |
| Social-GANBest of=202021.03 | 0.42 | 0.84 | — | — | — | |
| Social-GANNumber of samples (S)=202024.03 | 0.42 | 0.84 | — | — | — | |
| Social-GANM=202024.02 | 0.42 | 0.84 | — | — | — | |
| JACoP2026.05 | 0.46 | 0.99 | — | — | 1.35 | |
| GP-Graph2026.05 | 0.57 | 1.27 | — | — | 1.42 | |
| EqMotion2026.05 | 0.68 | 1.54 | — | — | 1.47 | |
| AgentFormer2026.05 | 0.74 | 1.71 | — | — | 1.53 | |
| SingularTrajectory2026.05 | 1.02 | 2.23 | — | — | 1.77 | |
| AgentFormerFew-shot=10% training data2024.03 | 1.08 | 1.59 | — | — | — | |
| STGCNNFew-shot=10% training data2024.03 | 1.36 | 2.12 | — | — | — | |
| AgentFormerobservation_frames=22024.03 | — | — | 0.43 | 0.89 | — | |
| AgentFormerPrediction Mode=Deterministic2024.03 | — | — | 1.68 | 3.74 | — | |
| AST-GNN2026.05 | — | — | 0.28 | 0.45 | — | |
| CARPEParams (M)=0.1, Single-future evaluation=true2022.10 | — | — | 0.34 | 0.69 | — | |
| CGNS2026.05 | — | — | 0.35 | 0.71 | — | |
| EigenTrajectoryobservation_frames=22024.03 | — | — | 0.15 | 0.27 | — | |
| EigenTrajectoryPrediction Mode=Deterministic2024.03 | — | — | 0.34 | 0.75 | — | |
| LinearSingle-future evaluation=true2022.10 | — | — | 0.77 | 1.48 | — | |
| LSTMSingle-future evaluation=true2022.10 | — | — | 0.52 | 1.11 | — | |
| MIDobservation_frames=22024.03 | — | — | 0.22 | 0.4 | — | |
| MIDPrediction Mode=Deterministic2024.03 | — | — | 0.6 | 1.31 | — | |
| MOE-Nextobservation_frames=22024.03 | — | — | 0.33 | 0.73 | — | |
| MOE-Traj++observation_frames=22024.03 | — | — | 0.17 | 0.32 | — | |
| NextParams (M)=3.95, Single-future evaluation=true2022.10 | — | — | 0.34 | 0.75 | — | |
| PECNetobservation_frames=22024.03 | — | — | 0.19 | 0.34 | — | |
| PECNetPrediction Mode=Deterministic2024.03 | — | — | 0.62 | 1.46 | — | |
| PishguParams (M)=0.11, Single-future evaluation=true2022.10 | — | — | 0.36 | 0.73 | — | |
| S-GAN-P2026.05 | — | — | 0.42 | 0.84 | — | |
| S-LSTM2026.05 | — | — | 0.56 | 1.17 | — | |
| ScePTSingle-future evaluation=true2022.10 | — | — | 0.19 | 1.2 | — | |
| SingularTrajectoryobservation_frames=22024.03 | — | — | 0.17 | 0.28 | — | |
| SingularTrajectoryPrediction Mode=Deterministic2024.03 | — | — | 0.35 | 0.73 | — | |
| Social-BiGAT2026.05 | — | — | 0.36 | 0.75 | — | |
| Social-GANPrediction Mode=Deterministic2024.03 | — | — | 0.52 | 1.11 | — | |
| Social-LSTMSingle-future evaluation=true2022.10 | — | — | 0.56 | 1.17 | — | |
| Social-LSTMPrediction Mode=Deterministic2024.03 | — | — | 0.56 | 1.17 | — | |
| Social-STGCNNImplementation Source=Paper Reported2026.05 | — | — | 0.3 | 0.48 | — | |
| Social-STGCNNImplementation Source=Experimentally obtained2026.05 | — | — | 0.3 | 0.48 | — | |
| Social-STGCNN-CVAE2026.05 | — | — | 0.31 | 0.41 | — | |
| Sophie2026.05 | — | — | 0.38 | 0.78 | — | |
| SR-LSTMPrediction Mode=Deterministic2024.03 | — | — | 0.44 | 0.9 | — | |
| SSAGCNSingle-future evaluation=true2022.10 | — | — | 0.14 | 0.28 | — | |
| ST-AttentionParams (M)=1.98, Single-future evaluation=true2022.10 | — | — | 0.34 | 0.73 | — | |
| STAR-DPrediction Mode=Deterministic2024.03 | — | — | 0.35 | 0.77 | — | |
| STGCNNobservation_frames=22024.03 | — | — | 0.35 | 0.58 | — | |
| STGCNNPrediction Mode=Deterministic2024.03 | — | — | 0.57 | 1.06 | — | |
| STTobservation_frames=22024.03 | — | — | 0.44 | 0.88 | — | |
| STT+DTOobservation_frames=22024.03 | — | — | 0.34 | 0.74 | — | |
| Trajectron++Single-future evaluation=true2022.10 | — | — | 0.23 | 0.59 | — | |
| Trajectron++Prediction Mode=Deterministic2024.03 | — | — | 0.32 | 0.71 | — |