Comments (2)
Not yet. I just implemented the model from the paper. I still have to see if the implementation is currently correct and then train it on some segmentation dataset.
from fully-connected-densenets-semantic-segmentation.
Cool, thanks for the update. I'm curious if simply tweaking your other densenet implementation to use atrous convolutions could be more effective than the method in the tiramisu paper. I'm planning on doing this with resnet as detailed in this keras-resnet issue first then might try it on densenets as well. Also there are some links to code in that issue that can load the camvid dataset which may save you time.
from fully-connected-densenets-semantic-segmentation.
Related Issues (11)
- Data and/or example? HOT 2
- trained weights?? HOT 1
- ValueError: Wrong dimensions HOT 2
- Deprecated function call warnings with Keras 2.x.x HOT 3
- Model error in initialization HOT 1
- NameError: name 'DenseNetFCN' is not defined HOT 2
- Minor bug when using tensorflow backend HOT 1
- TF bug HOT 6
- Average Pooling should be Max Pooling? HOT 1
- keras-contrib pull request HOT 6
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