Robots can locate objects with cameras, but that is not always enough when the target is tiny, irregular, or partly hidden.

Abstract: Object detection, which aims to locate and recognize objects in images, is evolving toward reduced reliance on manual annotations and enhanced adaptability to open-world scenarios. This ...

Summary: As AI-generated imagery becomes increasingly indistinguishable from reality, a new study reveals that the ability to spot a “deepfake” isn’t about how much you know about technology—it’s ...

To address the core challenges of inaccurate fruit occlusion localization and inefficient robotic arm dynamic obstacle avoidance in complex, unstructured agricultural environments, this study proposes ...

Abstract: This study introduces a survivor recognition and localization approach that leverages the temporal characteristics of complex-valued radar images and features obtained using millimeter-wave ...

LD is the extension of knowledge distillation on localization task, which utilizes the learned bbox distributions to transfer the localization dark knowledge from teacher to student. LD stably ...

A real-time face detection and recognition system for attendance tracking using YOLO, ArcFace, and Streamlit. Supports webcams and CCTV camera streams for live monitoring, and Docker GPU deployment ...

ABSTRACT: Marine plastic pollution is a pressing environmental threat, making reliable automation for underwater debris detection essential. However, vision systems trained on one dataset often ...