Comments (1)
tianweiy
commented on July 28, 2024
indeed, the coco model is not very good for KITTI. There are domain and class definition differences (e.g. we only have person in coco, but kitti 3d has both pedestrian / cyclists/ or person inside a vehicle). All of these makes training an KITTI segmentation model hard.
If you are interested in multimodal fusion on KITTI, one similar paper i noticed is https://github.com/LittlePey/SFD which also creates virtual points but filters the points based on 3d box proposal instead of image segmentation in our paper~(the latter is not very good due to reasons above)
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Related Issues (20)
- "RuntimeError: CUDA error: device-side assert triggered" When running virtual_gen.py with nuscenev1.0-mini HOT 3
- CenterPoint+PointPainting on nuScenes Val dataset HOT 7
- Question for global_scaling_v2 HOT 2
- How long do you need to train MVP? HOT 2
- question about MaskFormer pretrained model. HOT 6
- virtual points and points features alignment HOT 9
- Generating results on nuscenes test set HOT 2
- MVP reproduction on NuScenes with OpenPCDet (mAP:64.22 NDS:68.96) HOT 6
- Where is the difference between creating data with or without virtual point? HOT 1
- Missing sweeps virtual points HOT 2
- Doubts about virtual_lidar_points HOT 1
- semantic information different between PointPainting and MVP HOT 3
- Can it be applied to the waymo dataset? HOT 3
- Sorry
- How to implement CenterPoint + Ours(w/o virtual) HOT 3
- Generage `data/nuScenes/infos_train_10sweeps_withvelo_filter_painted_True.pkl` file HOT 3
- what is the shape of the virtual points dimension? HOT 6
- generate the points HOT 1
- Is there an online implementation of MVP? HOT 1
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