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English(EN) Quantum-Gated LiteSSD: A Parameter-Efficient Lightweight Hybrid Quantum-Classical Framework for Forward-Looking Sonar Object Detection

新型量子-经典模型以更少参数提升声纳目标检测性能

研究人员开发了Quantum-Gated LiteSSD,这是一种用于前视声纳目标检测的新型混合量子-经典框架。与YOLO26s和SSD-VGG16等现有探测器相比,该模型显著减少了参数数量,同时在基准数据集上保持了具有竞争力的准确性。该框架将量子处理重新构建为用于空间特征调制的通道门控机制,使其适用于嵌入式系统部署。 AI

影响 这项研究有望在资源受限的设备上实现更高效的水下感知系统。

排序理由 该项目是一篇研究论文,详细介绍了新模型及其实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新型量子-经典模型以更少参数提升声纳目标检测性能

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该项目是一篇研究论文,详细介绍了新模型及其实验结果。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Niloy Kumar Mondal, Poulomi Sarker Puja ·

    Quantum-Gated LiteSSD:一种面向前瞻性声纳目标检测的参数高效轻量级混合量子经典框架

    arXiv:2609.14025v1 Announce Type: new Abstract: Forward-looking sonar object detection is essential for underwater perception, yet deployment on embedded platforms requires highly compact models. To address this challenge, we explore quantum computing and introduce Quantum-Gated …