Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
description [CVPR 2026][Object Detection][Open World Object Detection] Ours proposes the DEUS framework, which effectively separates known, unknown, and background proposals in geometrically ...
Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
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 ...
Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
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