This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: The current mainstream research on color-thermal (i.e., RGB-T) object detection assumes that the RGB and thermal images are strictly aligned. However, in practical situations, due to the ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Thermal imaging is crucial for environmental monitoring, industrial inspection, and security, yet object detection in thermal images faces challenges like low contrast, noise, and ...
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