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English(EN) HMMF-Net: A Lightweight Hierarchical Multi-Frame Multimodal Fusion Network for Accurate Fish Feeding Intensity Assessment

轻量级HMMF-Net在鱼类喂食评估中实现高精度

研究人员开发了HMMF-Net,一种新颖的轻量级网络,旨在精确评估水产养殖中的鱼类喂食强度。这种多模态架构有效地结合了视觉和声学数据,克服了单一模态方法和计算密集型现有多种模态框架的局限性。HMMF-Net在AV-FFIA数据集上实现了高精度和F1分数,并展示了在NVIDIA Jetson Orin Nano等资源受限的边缘设备上的高效部署。 AI

影响 通过可边缘部署的人工智能,实现更高效、更精确的精准水产养殖。

排序理由 详细介绍新模型及其性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

轻量级HMMF-Net在鱼类喂食评估中实现高精度

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Phi-Hung Hoang, Van-Manh Tran, Nam-Thuan Trinh, Thi-Thu-Hong Phan ·

    HMMF-Net:一种轻量级分层多帧多模态融合网络,用于精确的鱼类摄食强度评估

    arXiv:2611.09224v1 Announce Type: new Abstract: Automated fish feeding intensity assessment (FFIA) is important for precision aquaculture and feed cost optimization. However, unimodal methods are vulnerable to acoustic noise and visual disturbances, while existing multimodal fram…