Research map / Probabilistic and scientific modeling / Molecules and proteins
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add spatial interaction edges (Spatial-E) to the MDN temporal model (ablation) | T-D1-1 · ETH/UCY average | ADE/FDE (m): 0.48/1.11 -> 0.44/0.95 | Helped |
| replace L2 loss with mixture density output (ablation) | T-1 · ETH/UCY average | ADE/FDE (m): 0.48/1.11 -> 0.48/1.11 | No clear effect |
| sample 20 trajectories and take best instead of single mean prediction (ablation) | ST-D1-1 · ETH/UCY average | ADE/FDE (m): 0.44/0.95 -> 0.31/0.63 | Helped |
| sample from top-two mixture components instead of top one (ablation) | ST-D1-20 · ETH/UCY average | ADE/FDE (m): 0.31/0.63 -> 0.29/0.56 | Helped |
| sample from top-three components instead of top-two (ablation) | ST-D2-20 · ETH/UCY average | ADE/FDE (m): 0.29/0.56 -> 0.33/0.63 | Hurt |
| offset and velocity inputs with LSTM temporal model (T-1) vs plain LSTM | LSTM · ETH/UCY average | ADE/FDE (m): 0.69/1.35 -> 0.48/1.11 | Helped |
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