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VPR-Space: A Benchmark for Visual Place Recognition in Space Analog Domains

Paper recorded by Signals 4 on 2026-10-26 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.CV · 计算机视觉 · first seen 2026-10-27

Abstract

Visual Place Recognition (VPR) is an important means for loop closure detection in visual Simultaneous Localization and Mapping (SLAM). While state-of-the-art VPR and SLAM approaches excel in urban and feature-rich natural environments, the vast and feature-poor environments of extraterrestrial surfaces like on the Moon or Mars pose severe challenges for existing approaches. This paper presents a

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#156 most recent of 756 cs.CV papers we have recorded · ↑ newer: CounterFlow: Target-Conditioned Flow Matching for Visual Counterfactua · ↓ older: SeeRF: Learning to See Beyond Fields of View via Generative Image Regi
Cite this page: VPR-Space: A Benchmark for Visual Place Recognition in Space Analog Domains: the #156 most recent of 756 cs.CV papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vpr-space-a-benchmark-for-visual-place-recognition-in-space-analog-domains.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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