About ensemble #1
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We trained 5 models by modifying the random seeds, and then had all 5 models perform inference simultaneously. We then performed k-means clustering on the final landing points of the 30 predicted future trajectories, resulting in 6 clusters. We then calculated the average trajectory for each cluster separately. Actually, I think most papers do it this way. |
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May I ask if you have the source code for this part to share？ |
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My email is zhipenghe2024@hnu.edu.cn Can you send me a copy of the original source code and weight file? Thank you |
The relevant documents have been sent to the email, please check. |
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Hello, I would like to know how this self ensemble is implemented and how the results are uploaded after ensemble ? |
Thank you for sharing your work. Could you please explain how the ensemble model mentioned in the paper is specifically implemented, in comparison to the single model?
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