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Found 6 papers, 0 papers with code
Neuromorphic Visual Odometry with Resonator Networks
The VO network we propose generates and stores a working memory of the presented visual environment.
Neuromorphic Visual Scene Understanding with Resonator Networks
Inferring the position of objects and their rigid transformations is still an open problem in visual scene understanding.
Encoding Event-Based Gesture Data With a Hybrid SNN Guided Variational Auto-encoder
Our novel approach consists of an event-based guided Variational Autoencoder (VAE) which encodes event-based data sensed by a Dynamic Vision Sensor (DVS) into a latent space representation suitable to compute the similarity of mid-air gesture data.
OnTarget: An Electronic Archery Scoring
There are several challenges in creating an electronic archery scoring system using computer vision techniques.
Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware
We also implement the encoder component of the model on neuromorphic hardware and discuss the potential for our algorithm to enable real-time learning from real-world event data.
End-to-End Auditory Object Recognition via Inception Nucleus
Machine learning approaches to auditory object recognition are traditionally based on engineered features such as those derived from the spectrum or cepstrum.
