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: Artificial intelligence (AI) has rapidly become a central force in healthcare, particularly in diagnostic medicine, where it promises earlier disease detection, improved accuracy, and more ...

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 ...

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 ...

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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 ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Abstract: Object detector with region proposal networks such as Fast/Faster R-CNN [1, 2] have shown the state-of-the art performance on several benchmarks. However, they have limited success for ...