James Dunn

Temporal Siamese Networks for Clutter Mitigation Applied to Vision-Based Quadcopter Formation Control

Convolutional neural networks applied to video streams often suffer from short-lived misclassifications or false alarms from clutter and noise. We introduce a novel network training method based on the Siamese Networks technique that mitigates false alarms in an Hourglass CNN that segments out quadc