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GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning

CVPR 2022 · Probabilistic and scientific modeling › Molecules and proteins · approach: Multimodal trajectory prediction · 194 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add GroupNet to CVAECVAE · NBA, 4.0sminADE_20: 1.25 -> 1.13Helped
Add GroupNet to NMMPNMMP · NBA, 4.0sminADE_20: 1.33 -> 1.25Helped
Add GroupNet to CVAECVAE · SDDminADE_20: 10.22 -> 9.31Helped
Add GroupNet to PECNetPECNet · SDDminFDE_20: 15.88 -> 15.34Helped
Add GroupNet to Trajectron++Trajectron++ · ETH-UCY AVGminFDE_20: 0.41 -> 0.38Helped
Add GroupNet to CVAECVAE · ETH-UCY AVGminADE_20: 0.28 -> 0.25Helped
Replace the MLP feature extractor with GroupNet (ablation)CVAE on NBA · NBA, 4.0sminADE_20: 1.25 -> 1.13Helped
Replace NMMP feature extraction with GroupNet (ablation)CVAE on NBA · NBA, 4.0sminADE_20: 1.17 -> 1.13Helped
Replace attention feature extraction with GroupNet (ablation)CVAE on NBA · NBA, 4.0sminADE_20: 1.16 -> 1.13Helped
Use multiple group scales instead of only scale 1 (ablation)GroupNet on NBA · NBA, 4.0sminADE_20: 1.27 -> 1.13Helped
Add scales 2, 5, and 11 to scale 1 (ablation)GroupNet on NBA · NBA, 4.0sminADE_20: 1.27 -> 1.13Helped
Add scale 3 to scales 1, 2, 5, and 11 (ablation)GroupNet on NBA · NBA, 4.0sminADE_20: 1.13 -> 1.13No clear effect

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