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Hi author!
I have a problem of the PDV's results on the KITTI val. I see the results of 3d detection performance for three classes(car, pedestrian, cyclist) of moderate difficulty on KITTI val are 85.05, 57.41, 75.95 in Github. But I find the results on paper are 85.29, 60.80, 74.23.
They are different! Could you tell me the differences between these two results?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late response! I did a bit of refactoring in the code base before the release so I couldn't re-use the trained weights I used for this table. In general, there is a bit of variance in the results, mainly in the pedestrian vs cyclist metrics, but you should expect to reach the same performance with a few training runs.
In practice, I found the Waymo results were a lot more stable than KITTI, most likely due to the dataset size. Hope this helps!
Hi author!
I have a problem of the PDV's results on the KITTI val. I see the results of 3d detection performance for three classes(car, pedestrian, cyclist) of moderate difficulty on KITTI val are 85.05, 57.41, 75.95 in Github. But I find the results on paper are 85.29, 60.80, 74.23.
They are different! Could you tell me the differences between these two results?
Thanks!
The text was updated successfully, but these errors were encountered: