Comments (3)
Emmmm that is strange. Could you try training with just 1 scene instead of the entire dataset, and see if your network is able to overfit this scene (i.e., getting similar results to 2D fusion results like miou=0.2391)?
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Thanks for the reply. I found a bug in my 3d data processing code. It can produce reasonable performance now.
By the way, does batch size affect the performance a lot? When I reproduce the results for Scannet, I set the batch_size=4 to fit in the 24GB GPU. But the miou of 3D distillation model is around 42 (46 in the table 4 of paper).
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Sorry for the late reply, yes, batch_size makes some differences, so maybe you can consider using multi-GPU training to increase the batch_size?
Best
Songyou
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Related Issues (20)
- Confusion about sinput of model HOT 1
- MinkowskiEngine HOT 1
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- num_rand_file_per_scene HOT 6
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- Question about labelset HOT 1
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- Question about the labeling of scannet 2d data HOT 1
- Loading images
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- Checkpoint with input color HOT 2
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- Should also add libxcb-cursor0 as the dependency for the Qt6.50 HOT 1
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