Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, ...

Abstract: Current remote sensing object detection faces significant challenges, including complex backgrounds, dense small objects, and multi-scale variations. To address these issues while overcoming ...

Object detection in computer vision encompasses the automatic identification and localisation of objects within images or video streams. Early approaches relied on handcrafted features and shallow ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

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: This paper proposes an object detection algorithm based on YOLO-PDE and optimizes it for the oracle bone object detection scenario. This algorithm constructs a unique YOLOPDE network ...

Experts have confirmed that the mysterious object hurtling towards us, previously dubbed A11pl3Z, is an "interstellar object." The cosmic interloper, officially named 3I/ATLAS, is only the third of ...