Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

@article{Yu2021TowardsRT,
  title={Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection},
  author={Weiping Yu and Taojiannan Yang and Chen Chen},
  journal={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2021},
  pages={3257-3266}
}
  • Weiping Yu, Taojiannan Yang, Chen Chen
  • Published 7 November 2020
  • Environmental Science, Computer Science
  • 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Existing methods for object detection in UAV images ignored an important challenge – imbalanced class distribution in UAV images – which leads to poor performance on tail classes. We systematically investigate existing solutions to long-tail problems and unveil that re-balancing methods that are effective on natural image datasets cannot be trivially applied to UAV datasets. To this end, we rethink longtailed object detection in UAV images and propose the Dual Sampler and Head detection Network… 

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