May 14, 2024, 4:46 a.m. | Amar Ali-bey, Brahim Chaib-draa, Philippe Gigu\`ere

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07364v1 Announce Type: new
Abstract: In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge. In this paper, we introduce a new technique, called Bag-of-Queries (BoQ), which learns a set of global queries designed to capture universal place-specific attributes. Unlike existing methods that employ self-attention and generate the queries directly from the input features, BoQ employs distinct learnable global queries, which probe the input features via cross-attention, ensuring consistent …

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