Comments (2)
pangsu0613
commented on August 9, 2024
Hello @Viczyf, CLOCs can work with any pre-trained 3D and 2D detectors, so theoratically, if you have a better 3D/2D detector, you will have better performance. The new results of CLOCs on the kitti leaderboard is achieved by fusing the CT3D and cascade-RCNN, also with couple of small modifications, we will update the repo to include more better 3D detectors.
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Eaphan
commented on August 9, 2024
Thank you.
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Related Issues (20)
- Visualization tools HOT 1
- fuse other 2D detection HOT 6
- About ablation study HOT 1
- Add a column of data HOT 11
- training time HOT 1
- About evaluation
- no model named second HOT 2
- when i running train.py
- Depth information from 2D boxes（Cascade-Rcnn） HOT 4
- Questions about draw figures of qualitative results. HOT 1
- Fast CLOCs HOT 1
- RuntimeError
- The result of your paper is different from the result of the code. HOT 5
- How to get the result of old 11 recall points?
- Empty cyclist tensor HOT 1
- which file has the IoU calculation code to select non-empty elements ( candidates)? HOT 1
- second.data
- efficiency
- ModuleNotFoundError: No module named 'second' HOT 1
- How to extend to multiple classes
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