Overview

Visual Place Recognition studies how robots and other systems identify previously visited locations from images, supporting localization, navigation, and loop closure in SLAM. Methods range from global descriptors learned with CNNs or vision transformers to local feature matching and geometric verification; sequence models also use motion and temporal context. Multimodal approaches combine images with depth, LiDAR, event cameras, language, or aerial imagery, and are evaluated across driving, indoor, campus, and natural-scene settings using retrieval and pose metrics. A central challenge is generalizing beyond familiar urban conditions while keeping systems efficient and reliable when scenes change, viewpoints differ, or visual matches are ambiguous.

Latest papers

CardsList

83 papers8 papers in the last four weeks, down 27% on the four weeks before. 0.0% of all new papers.

  1. LateMatch: Breaking the Interaction Bottleneck via Cacheable Matching for Efficient Visual Localization

    Oct 18, 2026Mohammad Omama, Aeyan Ashraf, Sandeep ChinchaliImage MatchingVisual Place Recognition

  2. HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration

    Oct 14, 2026Annie Bhalla, Dennis Rotondi, Riccardo Giubilato +2Loop Closure DetectionSpace Robotics

  3. 4MT-VLM: How Coarse Is a VLMs Cognitive Map?

    Sep 30, 2026Markus FreyVLM EvaluationSpatial Reasoning Benchmarks

  4. Large-Scale Geometric Map-Based Localization of UAVs in GNSS-Denied Urban Environments

    Sep 23, 2026Garth Terlizzi, Kaveh FathianGNSS-Denied LocalizationMap-Based Localization

  5. Geometry-Conditioned Visual Place Recognition in Natural Environments

    Sep 23, 2026Walter Nedov, Saimunur Rahman, Kavindie Katuwandeniya +3Visual Representation LearningVisual Place Recognition

  6. Calibrating Retrieval Geometry: Reliability-Guided Training-Free Aggregation for Visual Place Recognition

    Sep 22, 2026Xin Li, Zhimin Mao, Shang Wang +2Visual Place RecognitionFeature Fusion

  7. M3GA-Wild: A Large-Scale Dataset and Benchmark for Multi-Modal Multi-session Ground-to-Aerial Place Recognition in Forests

    Sep 19, 2026Ethan Griffiths, Maryam Haghighat, Simon Denman +2Visual Place RecognitionLiDAR Place Recognition

  8. VideoReloc: Long-Term Indoor Video Relocalization against a Kilobyte-Scale Semantic Scene Graph

    Sep 18, 2026Qianru Li, Xuyang Chen, Xuqin Wang +6Camera Pose EstimationMap-Based Localization

  9. Multi-viewpoint Geo-localization with Event Cameras

    Sep 18, 2026Adam D. Hines, Michael Milford, Tobias FischerVisual Place RecognitionEvent-Based Vision

  10. SlugTrails: An Egocentric Benchmark for Floor Plan Localization in Large Buildings

    Sep 17, 2026Yunqian Cheng, Roberto ManduchiFloor-Plan-Based Visual LocalizationVisual Place Recognition

  11. HuMemSLAM: Efficient Human-Inspired Semantic Place Recognition for Robust Visual SLAM

    Sep 15, 2026Mayowa Adebambo, Sebastian Donnelly, Armand Amaritei +2Visual Place RecognitionVisual SLAM

  12. DXPR: Depth-Based Vision-LiDAR Cross-Modal Place Recognition Using Vision Foundation Models

    Sep 8, 2026Yungsoo Han, Youngseok Jang, Seungwon Roh +2LiDAR Place RecognitionVisual Place Recognition

  13. TRAIL: Trajectory-Aware Visual Place Recognition against Unordered Databases

    Sep 7, 2026Dominik A. Kloepfer, Patrick WenzelVisual Place Recognition

  14. AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognition

    Sep 3, 2026Shunpeng Chen, Jingyi Zhang, Changwei Wang +6Visual Place RecognitionSynthetic Data Augmentation

  15. AutoCompass: Accurate Visual Localization on Public Maps by Learning from Weak Labels

    Sep 2, 2026Javier Tirado-Garín, Alan Savio Paul, Shuai Chen +5Learning with Noisy LabelsWeakly Supervised Learning

  16. Spotter: Efficient Urban Visual Localization via Geo-Referenced Facade Landmarks in GPS-Degraded Environments

    Aug 24, 2026Antoni Valls, Jordi Sanchez-RieraGNSS-Denied LocalizationMap-Based Localization

  17. What Does CLIP Learn for Regional Geolocalization? Probing Visual Cues and Scene Configuration After Adaptation

    Aug 22, 2026Changyu Lee, Yeonsoo Park, Abdullah Alfarrarjeh +1Geospatial Representation LearningVisual Place Recognition

  18. YILDIZ-VPR: A Novel Dataset with Dense Coverage Under Diverse Environmental Conditions for Visual Place Recognition

    Aug 17, 2026Serdar Yildiz, Abbas Memiş, Songül VarliVisual Place Recognition

  19. GeoUniPR: A Geometry-Consistent Unified Framework for Cross-Modal Place Recognition

    Aug 10, 2026Wonbong Kim, Jiatong Xiao, Rui Li +5Cross-Modal Representation LearningLiDAR Place Recognition

  20. SeqLoc: Beyond the Single Frame for Cross-View Geo-Localization in Feature-Sparse Scenes

    Aug 8, 2026Junwei Zheng, Yun Huang, Ruize Dai +8Cross-View Geo-LocalizationVisual Place Recognition

  21. Are Visual Place Recognition Models Recognizing Places or Conditions? Distractor-Augmented Evaluation and Condition Suppression

    Aug 7, 2026Beomsu Kim, Minwoo Jung, Giseop KimVisual Place RecognitionRetrieval Robustness

  22. Topometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models

    Aug 6, 2026Eulogio Quemada-Torres, Alberto Jaenal, Francisco-Angel Moreno +1Visual Place RecognitionMap-Based Localization

  23. RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs

    Jul 22, 2026Xin Li, Siyuan Duan, Shang Wang +3Cross-View Geo-LocalizationVisual Place Recognition

  24. Are All Tokens Necessary for Visual Place Recognition? An Empirical Study of Token Reduction for Efficient Inference

    Jul 17, 2026Tong Jin, Yunpeng Liu, Shuyu Hu +4Visual Place RecognitionEfficient ViTs

  25. Selectivity Drives Efficiency: Dataset Pruning for Visual Place Recognition

    Jul 16, 2026Tong Jin, Yunpeng Liu, Shuyu Hu +3Dataset PruningVisual Place Recognition

  26. Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning

    Jul 15, 2026Altzi Tsanko, Oikonomou Katerina Maria, Antonios GasteratosVisual Place RecognitionSpiking Neural Networks