This is the official repository for "Explanatory Learning: Beyond Empiricism in Neural Networks".
Download the datasets with the following links:
After downloading, move the datasets inside the directory data, located in the repository root folder.
Coming soon
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least com
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Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
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