Comments (2)
DASPP used in our work is from Yang et al, "DenseASPP for Semantic Segmentation in Street Scenes," CVPR 2018.
In our experiments, it does give much improvement in performance.
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Is the usage of DASPP specifically good for Street Scenes and 720 pixel focal length ?
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Related Issues (20)
- Questions on the code organization
- Pretrain models
- How were the files selected in nyudepthv2_train_files_with_gt.txt? HOT 1
- Why does the depth output has smears on the left and right sides?
- what is the focal HOT 2
- Single machine with multiple gpus,but I only want one...
- Error in filenames file while training
- Can you please tell me how to figure out the actual depth value(in metres or centimeteres) at any (x,y) coordinate of the image that is being predicted by the model? HOT 2
- nyu test dataset HOT 1
- transform
- 解决运行extract_official_train_test_set_from_mat.py时only integer scalar arrays can be converted to a scalar index问题 HOT 3
- kitti test dataset
- Link download fail
- The script does not download all the data and all dense maps
- Why you use mask = depth_gt > 0.1 ?
- OSError: unrecognized data strear contents when reading image file
- wget nyu_depth_v2_labeled.mat: connection refused HOT 2
- train loss nan in HOT 2
- confused about gt in new nyu2dataset and old nyu2dataset HOT 1
- How to avoid NaN in training
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