Comments (2)
Thanks in advance!
from 3dtrans.
Thanks for your attention to our work.
We show the object-size distribution results for observing the differences in object-size.
Besides, as described in Section 3.3 (Data-level Correction Operation), we use the domain-specific BN operation to address the differences in mean and variance statistics from different datasets. Here is our implementation code in 3D Backbone and domain-specific BN operation.
from 3dtrans.
Related Issues (20)
- About ReSimAD HOT 2
- The installation of gcc-5.4.0 HOT 1
- TypeError: __init__() missing 3 required positional arguments: 'num_class_s2', 'dataset_s2', and 'source_one_name'[] HOT 1
- Using the merge_labels.py file HOT 7
- Pretraining on NuScenes HOT 1
- KeyError: "param 'initial_lr' is not specified in param_groups[0] when resuming an optimizer" HOT 4
- Running pre-training script with point contrast HOT 3
- Using ckpt for pretraining HOT 4
- Creating Waymo infos using huge amounts of ram HOT 1
- How should I use Uni3D to train multiple datasets? HOT 2
- Why is SHIFT_COOR set to [0.0, 0.0, 1.6] in KITTI? HOT 2
- Question About AD-PT HOT 2
- Waymo evaluation issue HOT 6
- Questions on detection heads of Uni3D HOT 4
- Questions on Training Uni3D HOT 5
- Quick Squence Demo for 3DTrans ( KITTI / Waymo) HOT 1
- Fine-tuning on Waymo-Kitti HOT 1
- Question on generalization study on Uni3D HOT 1
- Problem about GPU memory HOT 1
- Question for lidar intensity input HOT 2
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