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FE-Fusion-VPR: Attention-based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events. (arXiv:2211.12244v2 [cs.CV] UPDATED)
Nov. 24, 2022, 7:17 a.m. | Kuanxu Hou, Delei Kong, Junjie Jiang, Hao Zhuang, Xinjie Huang, Zheng Fang
cs.CV updates on arXiv.org arxiv.org
Traditional visual place recognition (VPR), usually using standard cameras,
is easy to fail due to glare or high-speed motion. By contrast, event cameras
have the advantages of low latency, high temporal resolution, and high dynamic
range, which can deal with the above issues. Nevertheless, event cameras are
prone to failure in weakly textured or motionless scenes, while standard
cameras can still provide appearance information in this case. Thus, exploiting
the complementarity of standard cameras and event cameras can effectively
improve …
architecture arxiv attention events fusion network network architecture scale
More from arxiv.org / cs.CV updates on arXiv.org
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