There’s something quietly fascinating about the way Getty Images continues to push visual storytelling at the Winter Olympics, and its latest series, Winter Heat, feels like another confident step ...
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 ...
Police in Chester County are crediting technology for the safe return of a missing elderly person over the weekend. The West Chester Borough Police Department says that an officer who is trained as ...
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 ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...
(CNN) – An oddly-shaped object in the South Pacific has sparked the latest push to solve one of the greatest mysteries of all time. The object may help determine what happened to Amelia Earhart, the ...
I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...
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 ...
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