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title
description
AnyLoc: Towards Universal Visual Place Recognition
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site name
author
updated
2026-02-19 03:51:00
raw text
AnyLoc: Towards Universal Visual Place Recognition AnyLoc: Towards Universal Visual Place Recognition IEEE Robotics and Automation Letters (RA-L) 2023 & ICRA 2024 Nikhil Keetha* 1 , Avneesh Mishra* 2 , Jay Karhade* 1 , Krishna Murthy Jatavallabhula 3 , Sebastian Scherer 1 , Madhava Krishna 2 , Sourav Garg 4 1 CMU , 2 IIIT-Hyderabad , 3 MIT , 4 AIML, University of Adelaide * Co-first authors Paper arXiv Video Code Demo HF Demo AnyLoc enables universal visual place recognition (VPR) anywhere , anytime and under anyview . Abstract VPR is vital for robot localization. To date, the most performant VPR approaches are environment- and task-specific: while they exhibit strong performance in structured environments (predominantly urban driving), their performance degrades severely in unstructured environments, rendering most approaches brittle to robust realworld d...
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2026-02-19 03:51:00
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