Faster-RCNN是目标检测领域的重要里程碑，它首次将Region Proposal Networks(RPN)与Fast R-CNN相结合，实现了端到端的训练 ...

Abstract: In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the ...

在智慧水务和智能城市建设中，机械水表数字的自动化识别是一项关键技术。传统的水表读数方式依赖人工抄表 ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

ABSTRACT: 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 ...

Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...

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 ...