Comments (1)
Hi @chrischoy , thanks for your interest in our paper.
(1) The results can indeed be different from the paper if the model is trained again. It can be better or worse. For example, the released model (trained after NeurIPS submission) for Area 5 is better than the paper, but it may also be worse as you reported. I guess the primary reason is the Hungarian algorithm which may bring about instability during training. It seems a more stable back-prop algorithm is worthwhile to be explored. (Btw, all network configurations are the same.)
(2) I do agree mAP is more general to measure the results of obj detection or ins segmentation. However, the reported mAP scores of the first paper SGPN are incorrect according to their released code, which is also pointed out in GSPN. For a fair comparison with the ASIS which was SoTA on S3DIS, we simply follow their mPrec/mRec protocol. For the benefit of the community, I strongly believe a standard mAP protocol and the correct implementation are quite important.
(3) Here are the per-category pre/rec scores of 3D-BoNet (6 fold cross-validation), but unfortunately the results for other baselines are no longer available.
-----------pre/rec-------
ceiling: 0.8852/0.6180
floor: 0.8989/0.7464
wall: 0.6487/0.4999
beam: 0.4230/0.4217
column: 0.4801/0.2716
window: 0.9301/0.6242
door: 0.6676/0.5845
table: 0.5539/0.4861
chair: 0.7198/0.6158
sofa: 0.4972/0.2876
bookcase: 0.5830/0.2843
board: 0.8074/0.4648
clutter: 0.4762/0.2860
from 3d-bonet.
Related Issues (20)
- No need to remove duplicate bbox? HOT 1
- train net with scannet HOT 4
- 11
- 关于 instance labels HOT 1
- 训练自己数据集的问题 HOT 17
- test results HOT 1
- Questions about the visualization of results HOT 2
- 关于预测结果中的pmask_pred_raw变量 HOT 1
- visualization S3DIS HOT 3
- 在scannet的预测结果 HOT 2
- 数据集转换 HOT 1
- Compiling in Cuda 11.1
- How to separate each instance of point cloud instance segmentation?
- model not found, all weights are initilized train files: 0 test files: 0
- about label
- Wrong test results
- 关于Scannet数据集
- 感觉这份代码对于实际工作几乎没什么意义 HOT 2
- 如何制作自己的数据集 HOT 3
- How to calculate APs
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