CNNs and MLPs trained on ~6k 15x15 optic flow patterns generated by uniformly sampled combinations of translation (T) and rotation (R).
Oliver Layton
OWLab
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AI & ML interests
Optic flow, motion, self-motion, deep learning, neural networks
Organizations
Optic-flow-CNNs-MLPs-15x15
CNNs and MLPs trained on ~6k 15x15 optic flow patterns generated by uniformly sampled combinations of translation (T) and rotation (R).
Optic-flow-CNNs-15x15
Optic flow datasets created and accuracy optimized CNNs and MLPs trained for our paper Layton & Steinmetz (2024). Frontiers in Neuroscience.