Infering novel classes for classification problems
Project description
pyopenset
Pyopenset is a package that implements the meyhodology described in the paper:
It allows a easy and intuitive way to add novel classes to a pretrained model without requiring further optimization, New classes will always be added after the last.
So for example if your model has 10 neurons each for a single class ,the new class would be associated with neuron 11.
Note that current implementation only supports softmax activation functions on the last layer.
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