近日，北京理工大学光电学院许廷发教授团队在光谱成像目标探测领域取得新进展，提出了复杂场景下高光谱伪装目标检测和多光谱目标检测两种新方法。两篇文章分别以《HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection》和《MODA: The First Chal ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

A faint interstellar object detected in July 2025 has quietly reshaped how scientists and security planners view threats from ...

WASHINGTON — Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...