Comments (3)
Hi @stanleyshly,
The backbone can probably be replaced even with PointNet (like in VoteNet) or transformer (like in 3DETR). However we only tried voxel-based models from MinkowskiEngine
. Basically we use MinkResNet34
following the GSDN
baseline (from authors of MinkowskiEngine
). In our paper we also experiment with only first 2 or 3 feature levels of MinkResNet34
to simplify the model. You can also try MinkResNet18
or even customize the number of blocks in each feature level by yourself.
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Thank you for your response once again. To avoid clogging up issues, would it be okay if I contact you through email?
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Sure, you are welcome. However it's ok for me to continue questions in this thread.
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Related Issues (20)
- RuntimeError: NCCL error in: /opt/conda/conda-bld/pytorch_1603729009598/work/torch/lib/c10d/ProcessGroupNCCL.cpp:784, invalid usage, NCCL version 2.7.8 HOT 1
- ModuleNotFoundError: No module named 'mmdet3d.ops.pcdet_nms'
- visualization question HOT 7
- train.py: error: unrecognized arguments: --load-from fully_conv_s3dis.pth HOT 1
- Can MinkowskiGenerativeConvolutionTranspose from fcaf3d_neck_with_head.py replaced? HOT 4
- output all predict bbox coordinate position HOT 4
- log information HOT 1
- run pcd_demo.py HOT 3
- mAP result question HOT 2
- Performance on ScanNet HOT 4
- The error about training the S3DIS dataset HOT 5
- resume-from
- Performance on SUN RGB-D HOT 5
- Concatenate different feature levels to one level before passing data to the heads HOT 2
- terminate called after throwing an instance of 'c10::CUDAError' HOT 1
- Generalization of FCAF3D HOT 2
- FCAF3D evaluation result mAP question HOT 2
- Training with Custom Dataset HOT 1
- Welcome update to OpenMMLab 2.0 HOT 1
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