Trajectory Prediction on ZARA1
0.16Min ADE (H=20)FEP-Diff
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FEP-DiffVenue=-, K=20, Observability=agent-centric2026.05 | 0.16 | — | — | 0.3 | — | — | |
| NPSN2023.03 | 0.17 | — | — | 0.31 | — | — | |
| MID2023.03 | 0.17 | — | — | 0.3 | — | — | |
| MID2024.07 | 0.17 | — | — | 0.3 | — | — | |
| SocialVAE2024.07 | 0.17 | — | — | 0.29 | — | — | |
| PPT2024.07 | 0.17 | — | — | 0.3 | — | — | |
| GP-GraphVenue=ECCV’22, K=20, Observability=agent-centric2026.05 | 0.17 | — | — | 0.31 | — | — | |
| MoFlowVenue=CVPR’25, K=20, Observability=agent-centric2026.05 | 0.17 | — | — | 0.3 | — | — | |
| Agentformer2023.03 | 0.18 | — | — | 0.3 | — | — | |
| MemoNet2023.03 | 0.18 | — | — | 0.32 | — | — | |
| LED2023.03 | 0.18 | — | — | 0.26 | — | — | |
| AgentFormer2024.07 | 0.18 | — | — | 0.3 | — | — | |
| MemoNet2024.07 | 0.18 | — | — | 0.32 | — | — | |
| LED2024.07 | 0.18 | — | — | 0.26 | — | — | |
| NPSN2024.07 | 0.18 | — | — | 0.32 | — | — | |
| TUTR2024.07 | 0.18 | — | — | 0.34 | — | — | |
| AgentFormerVenue=ICCV’21, K=20, Observability=agent-centric2026.05 | 0.18 | — | — | 0.3 | — | — | |
| NPSNVenue=CVPR’22, K=20, Observability=agent-centric2026.05 | 0.18 | — | — | 0.32 | — | — | |
| SocialVAEVenue=ECCV’22, K=20, Observability=agent-centric2026.05 | 0.18 | — | — | 0.3 | — | — | |
| EqMotionVenue=CVPR’23, K=20, Observability=agent-centric2026.05 | 0.18 | — | — | 0.32 | — | — | |
| EigenTrajectory2024.07 | 0.19 | — | — | 0.33 | — | — | |
| SingularTrajVenue=CVPR’24, K=20, Observability=agent-centric2026.05 | 0.19 | — | — | 0.32 | — | — | |
| EigenTrajectoryVenue=ICCV’23, K=20, Observability=agent-centric2026.05 | 0.2 | — | — | 0.35 | — | — | |
| GroupNet2023.03 | 0.21 | — | — | 0.39 | — | — | |
| PCCSNet2024.07 | 0.21 | — | — | 0.44 | — | — | |
| GroupnetVenue=CVPR’22, K=20, Observability=agent-centric2026.05 | 0.21 | — | — | 0.39 | — | — | |
| PECNet2023.03 | 0.22 | — | — | 0.39 | — | — | |
| PECNet2024.07 | 0.22 | — | — | 0.39 | — | — | |
| MIDVenue=CVPR’22, K=20, Observability=agent-centric2026.05 | 0.22 | — | — | 0.45 | — | — | |
| Trajectron++2023.03 | 0.24 | — | — | 0.42 | — | — | |
| STAR2023.03 | 0.29 | — | — | 0.52 | — | — | |
| STAR2024.07 | 0.29 | — | — | 0.52 | — | — | |
| Trajectron++Venue=ECCV’20, K=20, Observability=agent-centric2026.05 | 0.29 | — | — | 0.43 | — | — | |
| NMMP2023.03 | 0.32 | — | — | 0.66 | — | — | |
| Social-GAN2023.03 | 0.35 | — | — | 0.68 | — | — | |
| Social-GAN2024.07 | 0.35 | — | — | 0.68 | — | — | |
| AutoTrajectoryzero-shot=true2024.03 | — | 0.48 | 0.91 | — | — | — | |
| Causal-STGAT2022.03 | — | 0.32 | 0.64 | — | — | — | |
| DD-MDNEvaluation Protocol=Momentary Observation, Input Horizon=2, K=202026.02 | — | — | — | — | 0.17 | 0.28 | |
| EigenTrajEvaluation Protocol=Momentary Observation, Input Horizon=2, K=202026.02 | — | — | — | — | 0.19 | 0.35 | |
| Kalman filterzero-shot=true2024.03 | — | 0.45 | 0.98 | — | — | — | |
| Linearzero-shot=true2024.03 | — | 0.43 | 0.96 | — | — | — | |
| LMTraj-ZEROFoundation Model=GPT-3.5, zero-shot=true2024.03 | — | 0.47 | 0.91 | — | — | — | |
| LMTraj-ZEROFoundation Model=GPT-4, zero-shot=true2024.03 | — | 0.33 | 0.66 | — | — | — | |
| MATFsampling=Best-of-202022.06 | — | 0.26 | 0.45 | — | — | — | |
| MIDEvaluation Protocol=Momentary Observation, Input Horizon=2, K=202026.02 | — | — | — | — | 0.3 | 0.56 | |
| NCE-Trajectron++2022.03 | — | 0.22 | 0.41 | — | — | — | |
| NPSN-Causal-STGATsampling_strategy=NPSN2022.03 | — | 0.32 | 0.65 | — | — | — | |
| NPSN-NCE-Trajectron++sampling_strategy=NPSN2022.03 | — | 0.19 | 0.35 | — | — | — | |
| NPSN-PECNetsampling_strategy=NPSN2022.03 | — | 0.21 | 0.33 | — | — | — | |
| NPSN-SGANsampling_strategy=NPSN2022.03 | — | 0.34 | 0.68 | — | — | — | |
| NPSN-SGCNsampling_strategy=NPSN2022.03 | — | 0.18 | 0.32 | — | — | — | |
| NPSN-STGATsampling_strategy=NPSN2022.03 | — | 0.34 | 0.68 | — | — | — | |
| NPSN-STGCNNsampling_strategy=NPSN2022.03 | — | 0.25 | 0.43 | — | — | — | |
| NPSN-Trajectron++sampling_strategy=NPSN2022.03 | — | 0.19 | 0.36 | — | — | — | |
| PECNet2022.03 | — | 0.25 | 0.45 | — | — | — | |
| S-ATTNmode=most likely2022.06 | — | 0.2 | 0.52 | — | — | — | |
| S-GANsampling=Best-of-202022.06 | — | 0.34 | 0.69 | — | — | — | |
| S-LSTMmode=most likely2022.06 | — | 0.47 | 1 | — | — | — | |
| ScePTsampling=Best-of-202022.06 | — | 0.13 | 0.77 | — | — | — | |
| ScePTmode=most likely2022.06 | — | 0.18 | 1.1 | — | — | — | |
| SGCN2022.03 | — | 0.29 | 0.51 | — | — | — | |
| SingTrajEvaluation Protocol=Momentary Observation, Input Horizon=2, K=202026.02 | — | — | — | — | 0.19 | 0.33 | |
| Social-GAN2022.03 | — | 0.35 | 0.68 | — | — | — | |
| Social-STGCNN2022.03 | — | 0.34 | 0.53 | — | — | — | |
| SoPhiesampling=Best-of-202022.06 | — | 0.3 | 0.63 | — | — | — | |
| STGAT2022.03 | — | 0.34 | 0.69 | — | — | — | |
| Stopzero-shot=true2024.03 | — | 2.51 | 4.61 | — | — | — | |
| Trajectron++2022.03 | — | 0.24 | 0.41 | — | — | — | |
| Trajectron++sampling=Best-of-202022.06 | — | 0.15 | 0.33 | — | — | — | |
| Trajectron++mode=most likely2022.06 | — | 0.3 | 0.79 | — | — | — |