mlsanityData to 7 Oct 2026

Drone-based Object Counting by Spatially Regularized Regional Proposal Network

arXiv 1707.05972 ↗First posted 19 Jul 2017cs.CVcited by 155

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Abstract (arXiv)

Existing counting methods often adopt regression-based approaches and cannot precisely localize the target objects, which hinders the further analysis (e.g., high-level understanding and fine-grained classification). In addition, most of prior work mainly focus on counting objects in static environments with fixed cameras. Motivated by the advent of unmanned flying vehicles (i.e., drones), we are interested in detecting and counting objects in such dynamic environments. We propose Layout Proposal Networks (LPNs) and spatial kernels to simultaneously count and localize target objects (e.g., cars) in videos recorded by the drone. Different from the conventional region proposal methods, we leverage the spatial layout information (e.g., cars often park regularly) and introduce these spatially regularized constraints into our network to improve the localization accuracy. To evaluate our counting method, we present a new large-scale car parking lot dataset (CARPK) that contains nearly 90,000 cars captured from different parking lots. To the best of our knowledge, it is the first and the largest drone view dataset that supports object counting, and provides the bounding box annotations.

Key facts. Cited by 155 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jul 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 29; 2023: 26; 2024: 29; 2025: 33; 2026: 25.

155 papers.

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  1. 2023RemoteCLIP: A Vision Language Foundation Model for Remote Sensingcited by 357
  2. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 202
  3. 2021Learning To Count Everythingcited by 149
  4. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 119
  5. 2023CLIP-Count: Towards Text-Guided Zero-Shot Object Countingcited by 82
  6. 2022Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Countingcited by 80
  7. 2022CounTR: Transformer-based Generalised Visual Countingcited by 79
  8. 2022A Low-Shot Object Counting Network With Iterative Prototype Adaptationcited by 65
  9. 2022Few-shot Object Counting with Similarity-Aware Feature Enhancementcited by 62
  10. 2021SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Watercited by 59
  11. 2024CountGD: Multi-Modal Open-World Countingcited by 59
  12. 2023Zero-shot Object Countingcited by 57
38 more
  1. 2022Few-shot Object Counting and Detectioncited by 55
  2. 2025UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobilitycited by 48
  3. 2023VLCounter: Text-aware Visual Representation for Zero-Shot Object Countingcited by 45
  4. 2022Vision-based Anti-UAV Detection and Trackingcited by 44
  5. 2022Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervisioncited by 41
  6. 2023Open-world Text-specified Object Countingcited by 41
  7. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  8. 2023Point, Segment and Count: A Generalized Framework for Object Countingcited by 39
  9. 2023Training-free Object Counting with Promptscited by 34
  10. 2021Deep Learning for UAV-based Object Detection and Tracking: A Surveycited by 33
  11. 2022HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detectioncited by 31
  12. 2021Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmarkcited by 30
  13. 2025UAVScenes: A Multi-Modal Dataset for UAVscited by 26
  14. 2023Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Countingcited by 25
  15. 2025NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Resultscited by 25
  16. 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
  17. 2025Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detectioncited by 24
  18. 2021Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehiclescited by 22
  19. 2023FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detectioncited by 21
  20. 2024Zero-shot Object Counting with Good Exemplarscited by 21
  21. 2023T-Rex: Counting by Visual Promptingcited by 20
  22. 2025T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Countingcited by 19
  23. 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectivescited by 18
  24. 2021Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmarkcited by 17
  25. 2022Rethinking Few-Shot Object Detection on a Multi-Domain Benchmarkcited by 17
  26. 2023Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?cited by 17
  27. 2022Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectivescited by 16
  28. 2024OmniCount: Multi-label Object Counting with Semantic-Geometric Priorscited by 16
  29. 2024HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenescited by 15
  30. 2024NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Imagescited by 14
  31. 2022ParkPredict+: Multimodal Intent and Motion Prediction for Vehicles in Parking Lots with CNN and Transformercited by 13
  32. 2024BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Visioncited by 13
  33. 2024AFreeCA: Annotation-Free Counting for Allcited by 12
  34. 2024CARLA Drone: Monocular 3D Object Detection from a Different Perspectivecited by 12
  35. 2024Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detectioncited by 11
  36. 2025Open-World Object Counting in Videoscited by 11
  37. 2024A Fixed-Point Approach to Unified Prompt-Based Countingcited by 10
  38. 2024CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentationcited by 10

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