Abstract: Deep learning object detection algorithms, due to their powerful feature learning capabilities, can effectively improve the accuracy of target detection in remote sensing images. However, ...

Deep learning technologies are contributing to substantial innovations in the field of object detection. While Convolutional Neural Networks (CNN) have laid a solid foundation, new models such as You ...

This signal processing enhances the learning capabilities of convolutional networks in remote sensing object detection. 2 Related work Some recent works ( Kussul et al., 2017 ; Long et al., 2017 ; Li ...

Keywords: AI supported preventive healthcare, pre-training with generative AI, multimodal deep learning, automated assessment of covert advertisement, few-shot learning, smoking detections. Citation: ...

Real Time Object Detection. To truly understand how YOLOv7 works, it’s essential for us to understand YOLOv7’s main objective, “ Real Time Object Detection”. Real Time Object Detection is a key ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system. ScienceDaily. Retrieved May 13, 2025 from www.sciencedaily.com / releases / 2022 / 12 / 221212140800.htm.

FOMO is a deep learning object detection model that weighs less than 200 kilobytes April 24, 2022 - 8:09 pm This article is part of our coverage of the latest in AI research .