Deep learning has revolutionised object detection by automating the localisation and classification of items within images. Contemporary systems employ convolutional neural network (CNN) backbones to ...
Deep-learning-based maritime ship target detection is a key technology in fields such as ship navigation, water surface security, and military early warning. Considering the inherent limitations of ...
Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...
A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average Precision of 76.3 percent for multi-object detection in ...
A computer vision framework combines YOLO object detection, geometric localization, and modeled visible light communication ...