Abstract: Gunshot detection has been applied in fields such as defense and forensic sciences. This plays a very critical role in law enforcement and public safety. Detecting a gunshot begins with ...

@inproceedings{wu2019fastfcn, title = {FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation}, author = {Wu, Huikai and Zhang, Junge and Huang, Kaiqi and Liang, Kongming ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution: ...

Abstract: Deep learning has witnessed a significant evolution recently with growth in high-performance devices and research in the neural network. The central aspect of this paper is to discuss the ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...

CoAtNets combines convolutional and attention models to enhance performance in deep learning tasks. This hybrid model has demonstrated state-of-the-art results in image classification, particularly on ...