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 ...

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 ...

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.

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 ...

Image classification is one of AI’s most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

Segment Anything, recently released by Facebook Research, does something that most people who have dabbled in computer vision have found daunting: reliably figure out which pixels in an image belong ...

Recently, astronomers have detected an unusual spacecraft-sized object near Jupiter, sparking curiosity and debate within the scientific community. With its unexpected trajectory and size, the object ...