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English(EN) RegisterBridgeMM: A Register-Centric Framework for RGB-Infrared Object Detection

新的面向寄存器的框架增强了RGB-红外目标检测能力

研究人员开发了RegisterBridgeMM,一个新颖的RGB-红外目标检测框架,该框架利用预训练模型的寄存器令牌来促进跨模态通信。该方法通过利用寄存器摘要进行特征适应,避免了密集的块对块交互。该框架在四个基准测试中表现出卓越的性能,在LLVIP、M3FD、DroneVehicle和FLIR-Aligned数据集上使用冻结的骨干流实现了最高的mAP50-95。 AI

影响 该框架通过更有效地融合视觉和热数据,可以提高在严峻环境条件下目标检测系统的准确性。

排序理由 该集群描述了一篇关于新颖目标检测框架的新学术论文。[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 →

新的面向寄存器的框架增强了RGB-红外目标检测能力

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该集群描述了一篇关于新颖目标检测框架的新学术论文。[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) · Zian Wang, Hangchuan Liang, Yuehua Chen, Changchun Li, Chaoyi Guo, Mingzhe Liu, Fangming Gu ·

    RegisterBridgeMM:面向RGB-红外目标检测的以寄存器为中心的框架

    arXiv:2608.04833v1 Announce Type: new Abstract: RGB-infrared (RGB-IR) object detection benefits from complementary visible and thermal cues, but effective fusion remains challenging under illumination changes, weather variation, and cluttered scenes. Existing RGB-IR fusion method…