EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing
–Neural Information Processing Systems
Specifically, it achieves 93.9%, 96.5%, and 94.6% Recall@1 on the MSLS V alidation, Pitts250k-test, and SPED datasets, respectively, while saving 64.3% of trainable parameters compared with the existing SOT A PEFT method.
Neural Information Processing Systems
Nov-20-2025, 05:11:28 GMT
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