<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Computer Vision Defense</title><link>http://www.bing.com:80/search?q=Computer+Vision+Defense</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Computer Vision Defense</title><link>http://www.bing.com:80/search?q=Computer+Vision+Defense</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition ...</title><link>https://www.computer.org/csdl/proceedings/cvpr/2025/2998kzfEzK0</link><description>Browse the leading magazines in computing offering topical peer-reviewed current research, developments, and timely information.</description><pubDate>Fri, 03 Apr 2026 17:55:00 GMT</pubDate></item><item><title>Autonomous UAV navigation using deep learning-based computer vision ...</title><link>https://www.sciencedirect.com/science/article/pii/S2590005624000274</link><description>Various Computer Vision (CV) based autonomous navigation frameworks have been increasingly researched and reviewed in the past few years. Computer vision is a method to extract meaning from visual input; it is done in real-time on UAVs to perceive their operating environment.</description><pubDate>Thu, 26 Mar 2026 00:17:00 GMT</pubDate></item><item><title>10 Use Cases of Computer Vision in The Defence Sector</title><link>https://zealousys.com/blog/computer-vision-use-cases-defence/</link><description>Learn how computer vision revolutionizes the defence sector with 10 use cases, improving surveillance, training, and decision-making for military operations.</description><pubDate>Wed, 01 Apr 2026 19:44:00 GMT</pubDate></item><item><title>Computer Vision: Aerospace and Defense Trends - Army Technology</title><link>https://www.army-technology.com/analyst-comment/computer-vision-aerospace-defense/</link><description>The second is quality control; CV can scan outgoing products, munitions, and remove any damaged products from the supply chain. This is an edited extract from the Computer Vision in Aerospace and Defense – Thematic Research report produced by GlobalData Thematic Research.</description><pubDate>Tue, 31 Mar 2026 09:08:00 GMT</pubDate></item><item><title>Head of Computer Vision @ Rafael Advanced Defense Systems | LHH Job Board</title><link>https://jobs.lhh.co.il/companies/rafael-advanced-defense-systems/jobs/72915603-head-of-computer-vision</link><description>מנהל.ת תחום ראייה ממוחשבת לגילוי וסיווג אובייקטים מבוסס AI המשרה בחיפה / קריות קצת על התפקיד התחום בעל מוניטין גבוה בהנבטה, פיתוח ושילוב יכולות מתקדמות של ראייה ממוחשבת מבוססת AI בפרויקטים מרכזיים ברפאל, עם דגש על ...</description><pubDate>Sun, 05 Apr 2026 13:49:00 GMT</pubDate></item><item><title>Exploring Computer Vision and Artificial Intelligence in the Defense Sector</title><link>https://www.prisma.ai/post/exploring-computer-vision-and-artificial-intelligence-in-the-defense-sector</link><description>Applications of computer Vision in Defense Industry Artificial intelligence (AI) has become increasingly relevant in defense and military applications. It has the potential to enhance various aspects of defense operations, including intelligence gathering, decision-making, autonomous systems, cybersecurity, and logistics.</description><pubDate>Sun, 01 Mar 2026 00:26:00 GMT</pubDate></item><item><title>PDA: Text-Augmented Defense Framework for Robust Vision-Language Models ...</title><link>https://arxiv.org/abs/2604.01010</link><description>Vision-language models (VLMs) are vulnerable to adversarial image perturbations. Existing works based on adversarial training against task-specific adversarial examples are computationally expensive and often fail to generalize to unseen attack types. To address these limitations, we introduce Paraphrase-Decomposition-Aggregation (PDA), a training-free defense framework that leverages text ...</description><pubDate>Thu, 02 Apr 2026 10:10:00 GMT</pubDate></item><item><title>jbhuang0604/awesome-computer-vision - GitHub</title><link>https://github.com/jbhuang0604/awesome-computer-vision</link><description>A curated list of awesome computer vision resources, inspired by awesome-php. For a list people in computer vision listed with their academic genealogy, please visit here</description><pubDate>Thu, 21 Aug 2025 16:52:00 GMT</pubDate></item><item><title>Attention-Guided Hierarchical Defense for Multimodal Attacks in Vision ...</title><link>https://openaccess.thecvf.com/content/CVPR2025W/TMM-OpenWorld/papers/Chen_Attention-Guided_Hierarchical_Defense_for_Multimodal_Attacks_in_Vision-Language_Models_CVPRW_2025_paper.pdf</link><description>Attention-Guided Hierarchical Defense for Multimodal Attacks in Vision-Language Models Long Chen1 Yuling Chen1,2† Yun Luo1,2 Hui Dou1,2 Xinyang Zhong1,2 1State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China 2College of Computer Science and Technology, Guizhou University, Guiyang, China</description><pubDate>Fri, 03 Apr 2026 04:11:00 GMT</pubDate></item><item><title>Computer Vision uses in Defense Applications - Active Silicon</title><link>https://www.activesilicon.com/news-media/news/the-critical-role-of-computer-vision-in-the-defense-industry/</link><description>Computer vision is a critical enabler for advanced defense capabilities. Imaging technologies enhance operational efficiency as well as fortifying national security by providing superior situational awareness, surveillance, and targeting capabilities. The use of devices such as autofocus-zoom cameras and embedded vision systems can deliver additional benefits to security and defense ...</description><pubDate>Thu, 02 Apr 2026 19:36:00 GMT</pubDate></item></channel></rss>