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TDE-3: An improved prior for optical flow computation in spiking neural networks
Using synthetic data we compared training and inference with spike count and ISI with respect to changes in stimuli dynamic range, spatial frequency, and level of noise.
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
In this work we approach, for the first time, the intensity reconstruction problem from a self-supervised learning perspective.
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