3D_adapt_auto_driving
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cxy1997
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.15 to 2.9.3. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.9.3 Release 2.9.3 This release introduces several vulnerability fixes: Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887) Fixes a...
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Hi, thank you for your great work which I found still inspiring among today's domain adaption algorithms. I have a question after looking thoroughly into your code. In https://github.com/cxy1997/3D_adapt_auto_driving/blob/master/convert/nusc2kitti.py#L114 it...
Hi, I'm currently working on my bachelor thesis. In my work, I convert the nuScenes dataset into the KITTI format. Your work helped me a lot. I would like to...
I find that the performance of the waymo.pth model is quite lower than that mentioned in the paper. The bev/3D performance on NuScenes in the Easy category is 31.1754 /...
Hello, Thanks for the great code,it is very helpful to me. I want to reproduce the nuscenes results in the paper, but it seems that the `KittiRCNNDataset` is incompatible with...
Fixed some errors in the dataloader function call as well as the definition, mainly order and name mismatch of arguments.
Hi Xiangyu, Firstly, thanks for your great work on domain adaptation. Secondly, after reading the paper, i come up 2 question(if i have wrong understanding please point it out): 1.The...
I meet some problems，could you please share your code about transfusion from nus to kitti？
