TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

1 code implementation • 17 Nov 2021 • Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang, Cuauhtemoc Daniel Suarez-Ramirez

Much of the previous research on handgun detection is based on static image detectors, leaving aside valuable temporal information that could be used to improve object detection in videos.

Image Augmentation object-detection +1

A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks

1 code implementation • 11 Apr 2021 • Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega

Current techniques for weight-updating use the same approaches as traditional Neural Networks (NNs) with the extra requirement of using an approximation to the derivative of the sign function - as it is the Dirac-Delta function - for back-propagation; thus, efforts are focused adapting full-precision techniques to work on BNNs.