Optic-flow-CNNs-MLPs-15x15
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CNNs and MLPs trained on ~6k 15x15 optic flow patterns generated by uniformly sampled combinations of translation (T) and rotation (R).
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From our paper: Layton, Peng, & Steinmetz (2024). ReLU, Sparseness, and the Encoding of Optic Flow in Neural Networks. Sensors.
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