Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.

Abstract: Fine-grained object detection (FOD) is essential in many remote sensing image interpretation tasks. Existing FOD methods have achieved remarkable progress in modeling discriminative features ...

Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

AI-based smart traffic management system using object detection to optimize signal timing and prioritize emergency vehicles for safer, smarter cities. INLIGHTS is a multithreaded traffic control ...

Official PyTorch implementation of the method SLidR. More details can be found in the paper: Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data, CVPR 2022 [arXiv] by Corentin ...