Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
Abstract: In the context of Intelligent Transportation Systems (ITS), the rapid and precise detection, classification, and speed estimation of vehicles play a critical role in enhancing traffic ...
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of ...
MPs have approved legislation that allows speed devices to be used as evidence in court. The Road Traffic Amendment and Validation Bill 2025 was read a second time and passed without objection in the ...
Michael Kelly pedals through strong winds on the Yolo Causeway in 2008 during his daily bike commute from Davis to Sacramento. A PG&E pipeline replacement project could close part of the Causeway’s ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...
The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...
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