PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion

Visual place recognition is a challenging task in the field of computer vision, and autonomous robotics and vehicles, which aims to identify a location or a place from visual inputs. Contemporary methods in visual place recognition employ convolutional neural networks and utilize every region within...

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Veröffentlicht in:	arXiv.org 2024-01
Hauptverfasser:	Shyam Sundar Kannan, Byung-Cheol Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer vision Image retrieval Retrieval Robotics Similarity Transformers
Online-Zugang:	Volltext
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