mlsanityData to 14 Oct 2026

Visual and Object Geo-localization: A Comprehensive Survey

arXiv 2112.15202 ↗First posted 30 Dec 2021cs.CVcited by 13

Not on the map. Why?

Abstract (arXiv)

The concept of geo-localization refers to the process of determining where on earth some `entity' is located, typically using Global Positioning System (GPS) coordinates. The entity of interest may be an image, sequence of images, a video, satellite image, or even objects visible within the image. As massive datasets of GPS tagged media have rapidly become available due to smartphones and the internet, and deep learning has risen to enhance the performance capabilities of machine learning models, the fields of visual and object geo-localization have emerged due to its significant impact on a wide range of applications such as augmented reality, robotics, self-driving vehicles, road maintenance, and 3D reconstruction. This paper provides a comprehensive survey of geo-localization involving images, which involves either determining from where an image has been captured (Image geo-localization) or geo-locating objects within an image (Object geo-localization). We will provide an in-depth study, including a summary of popular algorithms, a description of proposed datasets, and an analysis of performance results to illustrate the current state of each field.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 57 of its 162 references that are in the map. First posted on arXiv 30 Dec 2021.

Builds on

57 of 162 references.

References · 57

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,733
  4. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  5. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  6. 2020Training data-efficient image transformers & distillation through attentioncited by 4,586
  7. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  8. 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
  9. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,444
  10. 2015Fast R-CNNcited by 2,933
  11. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,849
  12. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,626
38 more
  1. 2018CBAM: Convolutional Block Attention Modulecited by 2,477
  2. 2013Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distancescited by 2,316
  3. 2014Conditional Generative Adversarial Netscited by 2,162
  4. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,908
  5. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,254
  6. 2015NetVLAD: CNN architecture for weakly supervised place recognitioncited by 941
  7. 2015Accurate Image Super-Resolution Using Very Deep Convolutional Networkscited by 903
  8. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 623
  9. 2019Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmarkcited by 340
  10. 2017DualGAN: Unsupervised Dual Learning for Image-to-Image Translationcited by 310
  11. 2017Toward Multimodal Image-to-Image Translationcited by 296
  12. 2020VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrievalcited by 189
  13. 2015Wide-Area Image Geolocalization with Aerial Reference Imagerycited by 186
  14. 2019Lending Orientation to Neural Networks for Cross-view Geo-localizationcited by 180
  15. 2018GANimation: Anatomically-aware Facial Animation from a Single Imagecited by 161
  16. 2020University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localizationcited by 157
  17. 2018xView: Objects in Context in Overhead Imagerycited by 146
  18. 2015Modelling Uncertainty in Deep Learning for Camera Relocalizationcited by 134
  19. 2020Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matchingcited by 126
  20. 2016PlaNet - Photo Geolocation with Convolutional Neural Networkscited by 115
  21. 2021Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localizationcited by 113
  22. 2017Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graphcited by 104
  23. 2019Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translationcited by 97
  24. 2020Each Part Matters: Local Patterns Facilitate Cross-view Geo-localizationcited by 97
  25. 2019Bridging the Domain Gap for Ground-to-Aerial Image Matchingcited by 95
  26. 2016Localizing and Orienting Street Views Using Overhead Imagerycited by 94
  27. 2019Optimal Feature Transport for Cross-View Image Geo-Localizationcited by 91
  28. 2016Predicting Ground-Level Scene Layout from Aerial Imagerycited by 90
  29. 2017Revisiting IM2GPS in the Deep Learning Eracited by 80
  30. 2019AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networkscited by 77
  31. 2017Cross-View Image Matching for Geo-localization in Urban Environmentscited by 69
  32. 2018Cross-View Image Synthesis using Conditional GANscited by 69
  33. 2018CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Mapscited by 68
  34. 2016SIFT Meets CNN: A Decade Survey of Instance Retrievalcited by 67
  35. 2018The Effects of Super-Resolution on Object Detection Performance in Satellite Imagerycited by 58
  36. 2021Geometry-Guided Street-View Panorama Synthesis from Satellite Imagerycited by 41
  37. 2020Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimationcited by 36
  38. 2021Single Image Depth Estimation: An Overviewcited by 35

50 most cited of 57 All 57 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 3; 2023: 3; 2024: 2; 2025: 4; 2026: 1.

13 papers.

Sort:

By area: