The days of dropping a thermal imaging camera and replacing an expensive lens are coming to an end with a new repairable lens developed by Flinders University scientists. The high-performance lens for ...

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 ...

Aurora Expeditions has partnered with Thermal Imaging of Polar Ice (TIPI) founder Joe Muise to bring a new citizen science initiative to its expedition fleet, using thermal imaging technology to ...

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 ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

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 ...

Credit: Image generated by VentureBeat with Ideogram v.3.0 GitHub is making a bold bet that enterprises don't need another proprietary coding agent: They need a way to manage all of them. At its ...

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: ...