mlsanityData to 7 Oct 2026

Tackling the Background Bias in Sparse Object Detection via Cropped Windows

arXiv 2106.02288 ↗First posted 4 Jun 2021cs.CVcited by 5

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Abstract (arXiv)

Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task. The recordings are mostly sparse and contain only small objects. In this work, we propose a simple tiling method that improves the detection capability in the remote sensing case without modifying the model itself. By reducing the background bias and enabling the usage of higher image resolutions during training, our method can improve the performance of models substantially. The procedure was validated on three different data sets and outperformed similar approaches in performance and speed.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 24 of its 33 references that are in the map. First posted on arXiv 4 Jun 2021.

Builds on

24 of 33 references.

References · 24

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  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  4. 2015Fast R-CNNcited by 2,930
  5. 2019CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Featurescited by 2,875
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  7. 2019Objects as Pointscited by 1,172
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12 more
  1. 2013Network In Networkcited by 600
  2. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 202
  3. 2020TIDE: A General Toolbox for Identifying Object Detection Errorscited by 113
  4. 2018Data Augmentation using Random Image Cropping and Patching for Deep CNNscited by 87
  5. 2019Augmentation for small object detectioncited by 73
  6. 2021SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Watercited by 59
  7. 2018Pelee: A Real-Time Object Detection System on Mobile Devicescited by 56
  8. 2018AutoFocus: Efficient Multi-Scale Inferencecited by 45
  9. 2020Fixing the train-test resolution discrepancy: FixEfficientNetcited by 31
  10. 2021Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learningcited by 12
  11. 2020PENet: Object Detection using Points Estimation in Aerial Imagescited by 5
  12. 2019Object detection on aerial imagery using CenterNetcited by 4

Built on by

Cited by year

Citing papers per year: 2022: 3; 2023: 1; 2024: 1.

5 papers.

  1. 2023Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Artcited by 15
  2. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14
  3. 2022Self-Supervised Visual Representation Learning via Residual Momentumcited by 7
  4. 2022Comprehensive Analysis of the Object Detection Pipeline on UAVscited by 0
  5. 2024Deployment Prior Injection for Run-time Calibratable Object Detectioncited by 0