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Machine learningDeep learning / NLP / CV

多模态目标检测

多模态目标检测通过联合处理来自多种传感器类型（如RGB摄像头、深度传感器、激光雷达、雷达或文本描述）的信号，来扩展单模态目标检测器，从而比任何单一模态都能更准确、更鲁棒地定位和分类目标。互补信息的融合是其核心设计原则。

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多模态目标检测
图像分类多模态图像分类多模态语义分割多模态Transformer目标检测语义分割多模态实例分割

来源

  1. Liu, Y., Zhang, F., Li, Y., & Lv, H. (2022). Multimodal Object Detection via Bayesian Fusion. IEEE Transactions on Image Processing, 31, 5953–5965. link ↗
  2. Object detection. Wikipedia. link ↗

如何引用本页

ScholarGate. (2026, June 3). Multimodal Object Detection (Multi-Sensor / Cross-Modal Deep Detection). ScholarGate. https://scholargate.app/zh/deep-learning/multimodal-object-detection

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多模态图像分类多模态实例分割

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ScholarGate — Multimodal Object Detection (Multimodal Object Detection (Multi-Sensor / Cross-Modal Deep Detection)). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multimodal-object-detection · 数据集： https://doi.org/10.5281/zenodo.20539026