Occlusion Handling in Generic Object Detection: A Review

@article{Saleh2021OcclusionHI,
  title={Occlusion Handling in Generic Object Detection: A Review},
  author={K. Saleh and S{\'a}ndor Sz{\'e}n{\'a}si and Zolt'an V'amossy},
  journal={2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)},
  year={2021},
  pages={000477-000484}
}
The significant power of deep learning networks has led to enormous development in object detection. Over the last few years, object detector frameworks have achieved tremendous success in both accuracy and efficiency. However, their ability is far from that of human beings due to several factors, occlusion being one of them. Since occlusion can happen in various locations, scale, and ratio, it is very difficult to handle. In this paper, we address the challenges in occlusion handling in… Expand

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