A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset ...

Deep learning has revolutionised the detection and classification of objects at sea, underpinning advances in maritime surveillance, autonomous navigation and environmental monitoring. Convolutional ...

Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...

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 ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...

However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early ...