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These are two bugs in the data preprocessing code that your implementation borrows from Trajectron++ (see StanfordASL/Trajectron-plus-plus#53 and StanfordASL/Trajectron-plus-plus#65).
I tried to reproduce your results with those bugs fixed. The following are the results I got on ETH/UCY datasets. Could you help confirm if these are correct?
ADE/FDE (reproduced) ADE/FDE (reported)
eth: 0.55/0.95 ------------> 0.37/0.69
hotel: 0.17/0.28 ------------> 0.12/0.21
univ: 0.25/0.47 ------------> 0.17/0.37
zara1: 0.22/0.44 ------------> 0.13/0.29
zara2: 0.16/0.33 ------------> 0.10/0.21
Could you please provide results on nuScenes with those bugs fixed?
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