Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Improving Open-World Class-Agnostic Object Detectors via Feature Distillation with Student-Aware Adaptation

Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
EE World Online

How can designers evaluate and benchmark sensor fusion systems for autonomous machines?

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...
IEEE

BAUODNET for Class Imbalance Learning in Underwater Object Detection

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...