Comments (2)
Hi, thanks so much for the suggestion! The DLA-34 you referenced is exactly what we used. The upsampling parameters are randomly initialized. I have added relevant descriptions in the readme file.
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Thank you!
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Related Issues (20)
- How to genereate the confidence map? HOT 1
- Regarding feature map resolution from DLA encoder HOT 3
- Discrepancies model_zoo models vs. paper HOT 1
- output tensors differ when parsing exactly same input HOT 1
- error when run train.sh HOT 8
- Number of epochs and training time HOT 5
- Some Results and Questions HOT 1
- Extra minus HOT 7
- Cityscapes pre-trained model? HOT 1
- Some layers have no gradient when backward.
- Error running pre trained model HOT 1
- Question about how occlusion is handled HOT 2
- Large EPE error for stereo task HOT 3
- replace FunctionCorrelation cupy GPU HOT 4
- Inference error HOT 4
- Convert output disparity maps to depth HOT 6
- Can you give me a link to the web disk of the pre training model?
- Question about pretraining in stereo task HOT 5
- Question about cost volume
- Error in _prob2cornerflow() function HOT 3
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