5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 3 cited
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang +1
Timely handgun detection is a crucial problem to improve public safety; nevertheless, the effectiveness of many surveillance systems still depends of finite human attention. Much o…
cs.CV2021★ 5 cited
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez +2
The optimization of Binary Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating use t…