awesome-Visual-Place-Recognition

A curated list of awesome Visual Place Recognition papers
https://github.com/gmberton/awesome-Visual-Place-Recognition

Last synced: 3 days ago
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Papers
- EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
- AnyLoc: Towards Universal Visual Place Recognition
- MixVPR: Feature Mixing for Visual Place Recognition - bey Amar | WACV 2023 | [GitHub](https://github.com/amaralibey/MixVPR) | [BibTex](./citations/Alibey_2023_mixvpr.txt) |
- Rethinking Visual Geo-localization for Large-Scale Applications
- Learning Semantics for Visual Place Recognition through Multi-Scale Attention
- Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition
- Vector of Locally and Adaptively Aggregated Descriptors for Image Feature Representation
- Semantic Reinforced Attention Learning for Visual Place Recognition
- Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization
- Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
- Attention-based Pyramid Aggregation Network for Visual Place Recognition
- Learned Contextual Feature Reweighting for Image Geo-Localization
- NetVLAD: CNN architecture for weakly supervised place recognition
- Visual Place Recognition with Repetitive Structures
- Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
- AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
- Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition
- 24/7 Place Recognition by View Synthesis
- Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
- The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
- University of Michigan North Campus long-term vision and lidar dataset - Bianco et al., ijrr 2016 | [webisite](http://robots.engin.umich.edu/nclt/) | [bibtex](./citations/CarlevarisBianco_2016_nclt.txt)
- Image Geo-localization Based on Multiple Nearest Neighbor Feature Matching using Generalized Graphs
- Vision meets robotics: The KITTI dataset
- Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons
- Image retrieval for image-based localization revisited
- City-scale landmark identification on mobile devices
- Avoiding confusing features in place recognition
- Highly scalable appearance-only SLAM - FAB-MAP 2.0
- Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System
- Inside Out Visual Place Recognition
- Night-to-day image translation for retrieval-based localization
- Attention-Aware Age-Agnostic Visual Place Recognition
- Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes
- Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
- MATC-Net: Learning compact sequence representation for hierarchical loop closure detection
- Learning Sequential Descriptors for Sequence-Based Visual Place Recognition - vpr/vg-transformers) | [bibtex](./citations/Mereu_2022_SeqVLAD.txt)
- SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
- Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition
- SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights
- Are Local Features All You Need for Cross-Domain Visual Place Recognition? - ranking-for-VPR) | [bibtex](./citations/Barbarani_2023_reranking_benchmark.txt)
- R2former: Unified retrieval and reranking transformer for place recognition
- TransVPR: Transformer-Based Place Recognition With Multi-Level Attention Aggregation
- Correlation Verification for Image Retrieval
- Viewpoint Invariant Dense Matching for Visual Geolocalization
- Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition - NetVLAD) | [bibtex](./citations/Hausler_2021_patch_netvlad.txt)
- LoFTR: Detector-Free Local Feature Matching with Transformers
- Instance-level Image Retrieval using Reranking Transformers
- DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
- Unifying Deep Local and Global Features for Image Search
- SuperGlue: Learning Feature Matching with Graph Neural Networks - Edouard Sarlin and et al., CVPR 2020 | [github](https://github.com/magicleap/SuperGluePretrainedNetwork) | [bibtex](./citations/Sarlin_2020_superglue.txt)
- R2D2: Repeatable and Reliable Detector and Descriptor
- D2-Net: A Trainable CNN for Joint Detection and Description of Local Features - net) | [bibtex](./citations/Dusmanu_2019_D2Net.txt)
- Large-Scale Image Retrieval with Attentive Deep Local Features
- Deep Visual Geo-localization Benchmark - visual-geo-localization-benchmark) | [bibtex](./citations/Berton_2022_benchmark_berton.txt)
- VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change - Bench) | [bibtex](./citations/Zaffar_2021_vprbench.txt)
- Benchmarking Image Retrieval for Visual Localization
- Interpretable Semantic Photo Geolocation
- Where in the World is this Image? Transformer-based Geo-localization in the Wild - localization) | [bibtex](./citations/Pramanick_2022_transformer_geoloc.txt)
- Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation - Zilos et al., ICMR 2021 | [github](https://github.com/mever-team/visloc-estimation) | [bibtex](./citations/Kordopatis_2021_EfficientNetGeoloc.txt)
- Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification - Budack Eric et al., ECCV 2018 | [github](https://github.com/TIBHannover/GeoEstimation) | [bibtex](./citations/Muller_2018_hierarchical_geolocation.txt)
- CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
- Revisiting IM2GPS in the Deep Learning Era
- PlaNet - Photo Geolocation with Convolutional Neural Networks
- IM2GPS: estimating geographic information from a single image
- Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-localization - and-Classify) | [bibtex](./citations/Trivigno_2023_DivideClassify.txt)
- Unifying Visual Localization and Scene Recognition for People With Visual Impairment
- Scalable Place Recognition Under Appearance Change for Autonomous Driving
- Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods - Process-Fusion) | [bibtex](./citations/Hausler_2019_fusion.txt)
- Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
- Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval - landmark) | [BibTex](./citations/Weyand_2020_gldv2.txt) |
- Optimal Transport Aggregation for Visual Place Recognition
- CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition - Feng/CricaVPR) | [BibTex](./citations/Lu_2024_CricaVPR.txt) |
- Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition - Feng/SelaVPR) | [bibtex](./citations/Lu_2024_SelaVPR.txt)
- Semantic–geometric visual place recognition: a new perspective for reconciling opposing views
- MegaLoc: One Retrieval to Place Them All
- Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition
- VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition - BuFF/) | [BibTex](./citations/Khaliq_2024_vladbuff.txt)
- Revisit Anything: Visual Place Recognition via Image Segment Retrieval - Anything) | [Bibtex](./citations/Garg_2024_revisitanything.txt)
- Data-efficient Large Scale Place Recognition with Graded Similarity Supervision - Vallina | CVPR 2023 | [GitHub](https://github.com/marialeyvallina/generalized_contrastive_loss) | [BibTex](./citations/Leyvavallina_2021_gcl.txt) |
- GSV-Cities: Toward appropriate supervised visual place recognition - bey Amar | Neurocomputing 2022 | [GitHub](https://github.com/amaralibey/gsv-cities) | [BibTex](./citations/Alibey_2022_gsvcities.txt) |
- Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach - pytorch) | [BibTex](./citations/Berton_2021_svox.txt) |
- 1 Year, 1000km: The Oxford RobotCar Dataset - robotics-institute.github.io/radar-robotcar-dataset/) | | [BibTex](./citations/Maddern_2017_robotCar.txt) |
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