研究人员推出BOLT，一个新颖的、用于预训练无关的异构协同感知的模块。该系统允许独立训练的代理在没有事先协调的情况下在线适配其感知特征。BOLT利用“自我即教师”蒸馏，利用高置信度的自我预测来对齐邻近特征并提高性能，甚至在某些场景下超越了仅依赖自我的感知。 AI
影响 在多智能体系统中实现更灵活有效的协同感知，无需预部署协调。
排序理由 详细介绍协同感知新方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
BOLT模块实现预训练无关的异构协同感知
报道来源 [2]
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BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
arXiv:2605.00405v1 Announce Type: new Abstract: Most existing heterogeneous cooperative perception methods depend on prior preparation like offline joint training or tailored collaborator-model adaptation. Such preprocessing is, however, generally impractical in real scenarios, a…
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BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
Most existing heterogeneous cooperative perception methods depend on prior preparation like offline joint training or tailored collaborator-model adaptation. Such preprocessing is, however, generally impractical in real scenarios, as agents are usually independently trained by di…