Deep Learning with Yacine on MSNOpinion

Local response normalization (LRN) in deep learning – simplified!

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
IEEE

ConViTML: A Convolutional Vision Transformer-Based Meta-Learning Framework for Real-Time Edge Network Traffic Classification

Abstract: Traditional traffic classification methods struggle to identify emerging network traffic due to the need for model retraining, which hampers the real-time response of deployed edge devices.
GitHub

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
IEEE

Learning a Single Convolutional Layer Model for Low Light Image Enhancement

Abstract: Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure. Recently, various lightweight learning-based LLIE methods have been proposed ...