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After evaluating the pre-trained model on Argoverse 2 validation set using the default configuration, I found a performance gap between the results I got and the data in the table IV (the last row). Here is the comparison:
This issue does not occur on the Argoverse 1 validation set.:
Looking forward to your reply!
The text was updated successfully, but these errors were encountered:
@Yipeng-Zhou Hi, thanks for your feedback! Actually, the released checkpoint for AV2 is not the one we used in the paper. I will check this issue and upload the correct one soon.
Sorry for the late reply. Unfortunately, I cannot find the exact checkpoint for the experiment. So I re-train the network and get a checkpoint that achieves similar performance. I have updated the weight at saved_models/simpl_av2_bezier_ckpt-fix.tar, and the quantitative result on AV2 validation set is:
Thanks for sharing this perfect work!
After evaluating the pre-trained model on Argoverse 2 validation set using the default configuration, I found a performance gap between the results I got and the data in the table IV (the last row). Here is the comparison:
This issue does not occur on the Argoverse 1 validation set.:
Looking forward to your reply!
The text was updated successfully, but these errors were encountered: