Abstract: Deploying deep learning models on UAV-based edge platforms for railway track foreign object detection is often limited by large model size and heavy computation. To address these issues, ...

The Iranian government uses the threat of sea mines to control access to the Strait of Hormuz, a narrow sea lane that is ...

Social media companies are under pressure to crack down on so-called deepfake videos that use deceptive images of real people. By Natallie Rocha Reporting from San Francisco YouTube is adding a ...

Object detection remains a fundamental yet challenging problem in machine vision. Over the past decade, numerous state-of-the-art solutions have been developed, predominantly based on deep learning.

Deep-sea organism detection is one of the key technologies in deep-sea resource research and conservation. However, challenges such as low recognition accuracy and insufficient robustness arise due to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Current cell sorting methods often lack versatility, require complex setups, demand ...

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 ...

As an important part of human cultural heritage, the recognition of genealogy layout is of great significance for genealogy research and preservation. This paper proposes a novel method for genealogy ...