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Research map / Graph learning / Knowledge and temporal graphs

Recursive Social Behavior Graph for Trajectory Prediction

CVPR 2020 · Graph learning › Knowledge and temporal graphs · approach: Social and behavior graphs · 216 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use group-supervised RSBG with context features rather than STGAT (1V-1)Trajectory prediction · ETH and UCY averageADE: 11.1%Helped
use group-supervised RSBG with context features rather than STGAT (1V-1)Trajectory prediction · ETH and UCY averageFDE: 10.8%Helped
remove human context features (ablation)RSBG · ETH and UCY subsetsADE: ETH: 0.79 -> 0.80; HOTEL: 0.35 -> 0.33; UNIV: 0.68 -> 0.59; ZARA1: 0.42 -> 0.40; ZARA2: 0.35 -> 0.30Mixed
replace the LSTM historical trajectory encoder with a BiLSTM (ablation)RSBG · ETH & UCY averageADE: 0.51 -> 0.48; 5.9%Helped
replace the LSTM historical trajectory encoder with a BiLSTM (ablation)RSBG · ETH & UCY averageFDE: 1.04 -> 0.99; 4.8%Helped
use exponential L2 loss with γ=20 instead of standard L2 loss (ablation)RSBG · ETH & UCY averageADE: 0.50 -> 0.48; 4.0%Helped
use exponential L2 loss with γ=20 instead of standard L2 loss (ablation)RSBG · ETH & UCY averageFDE: 1.04 -> 0.99; 4.8%Helped
set exponential loss γ=50 instead of standard L2 loss (ablation)RSBG · ETH & UCY averageADE: 0.50 -> 0.49Helped
set exponential loss γ=50 instead of standard L2 loss (ablation)RSBG · ETH & UCY averageFDE: 1.04 -> 1.01Helped
overemphasize FDE by setting exponential loss γ=5 (ablation)RSBG · ETH & UCY averageADE: 0.50 -> 0.52Hurt
overemphasize FDE by setting exponential loss γ=5 (ablation)RSBG · ETH & UCY averageFDE: 1.04 -> 1.06Hurt
add human context features (ablation)RSBG · ETHADE: 0.80 -> 0.79Helped

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