DINO-Mix enhancing visual place recognition with foundational vision model and feature mixing

Abstract Using visual place recognition (VPR) technology to ascertain the geographical location of publicly available images is a pressing issue. Although most current VPR methods achieve favorable results under ideal conditions, their performance in complex environments, characterized by lighting v...

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Bibliografski detalji

Glavni autori:	Gaoshuang Huang, Yang Zhou, Xiaofei Hu, Chenglong Zhang, Luying Zhao, Wenjian Gan
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2024-09-01
Serija:	Scientific Reports
Teme:	Visual place recognition DINOv2 Feature mixer Foundational vision model Image retrieval
Online pristup:	https://doi.org/10.1038/s41598-024-73853-3
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