AI RESEARCH
Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE
arXiv CS.CV
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ArXi:2604.11140v1 Announce Type: new Integrating frame-based RGB cameras with event streams offers a promising solution for robust object detection under challenging dynamic conditions. However, the inherent heterogeneity and data redundancy of these modalities often lead to prohibitive computational overhead or suboptimal feature fusion. In this paper, we propose Hyper-FEOD, a high-performance and efficient detection framework, which synergistically optimizes multi-modal interaction through two core components. First, we