Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...
Russia has been mounting Elon Musk’s Starlink satellite systems on its attack drones to strike deeper into Ukraine, extending their potential flight range to well inside NATO territory, analysts and ...
Abstract: Multispectral object detection, which combines RGB visible light and thermal infrared spectral information, has broad applications in complex environments and varying illumination conditions ...
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 ...
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 ...
Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...
The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...
Computer vision competitions are currently an important event for teams working in this area. They provide an opportunity to try new solutions, practice, and simply enjoy solving interesting problems.
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