Comments (2)
I had poor results with that model, and decided to try ResNets since I thought they would be easier to train. You're right that I should have kept the original model around. Later, I realized I had a bug in my data generators which was probably causing the poor results. I've just started working with these kinds of models, so wouldn't take anything in this repo as the gospel truth at the moment.
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Ok I see. Same here in terms of just starting with FCNs, etc. I suppose the link to the commit above can serve as reference to the original network.
I'll also mention the author name and paper URL so that it might come up on Google as a starting point for others wanting to implement that model:
- URL: http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w19/papers/Kampffmeyer_Semantic_Segmentation_of_CVPR_2016_paper.pdf
- Paper title: Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks
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Related Issues (20)
- Unable to install RasterVision HOT 3
- Issues with using model bundle for prediction HOT 15
- Cannot import ClassConfig on Kaggle HOT 16
- Cannot save prediction using colors from ClassConfig HOT 4
- Improve unit test coverage of CLI and `Runner`s
- Cannot plot batch with ObjectDetectionVisualizer HOT 4
- Multi-temporal raster source visualizer fails when batch size is 1 HOT 2
- Make it possible to exclude "null" class labels from the computation of metrics HOT 3
- RuntimeError: expected scalar type Long but found Int HOT 10
- Allow user to specify AOI box filtering behavior in sliding window datasets HOT 1
- self._hds cannot be converted to a Python object for pickling HOT 2
- Semantic Segmentation Labels not initializing properly from predictions when extent provided HOT 2
- use my trained modle to prediction ,has wrong happened HOT 2
- RuntimeError: The size of tensor a (82) must match the size of tensor b (64) at non-singleton dimension 3 HOT 4
- Migrate to `pydantic` v2
- MPL notice for use of everett library and LGPL for triangle
- v0.30 release checklist
- `ModuleNotFoundError: No module named 'rastervision.examples'` when running command from examples doc HOT 1
- Add ability to use different Objectdetection models than FasterRCNN HOT 1
- BATCH_CPU_JOB_QUEUE requires a value parseable by str HOT 1
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