This paper trains a two-layer spiking neural network (SNN) with additive spike-timing-dependent plasticity (STDP), which drives the learned weight matrix towards a strongly bimodal distribution, amenable to aggressive magnitude pruning, and suggests that the sparsity of both event-based input and learned weights can al...
Somayeh Hussaini, Tobias Fischer, Michael Milford· 0 citations
EventCV, an open-source and extensible Rust library with OpenCV-style Python bindings that lowers the entry barrier to working with event cameras, is presented and three robotics case studies spanning object detection, on-device model inference, and localization are presented.
Adam D. Hines, Michael Milford, Tobias Fischer· 0 citations
This work converts five large-scale geo-tagged datasets into synthetic event streams using Image-to-Event (I2E) conversion, and uses them to fine-tune a pre-trained event-based vision transformer backbone with a multi-loss function, yielding a system called MegaEvent that learns viewpoint-robust features for place reco...
Adam D. Hines, Michael Milford, Tobias Fischer· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.