Asymmetric Contextual Modulation for Infrared Small Target Detection

Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
9/30/2020
cs.CV

Official code: YimianDai/open-acm (151 stars, last commit 2020-12-24).

Abstract

Single-frame infrared small target detection remains a challenge not only due to the scarcity of intrinsic target characteristics but also because of lacking a public dataset. In this paper, we first contribute an open dataset with high-quality annotations to advance the research in this field. We also propose an asymmetric contextual modulation module specially designed for detecting infrared small targets. To better highlight small targets, besides a top-down global contextual feedback, we supplement a bottom-up modulation pathway based on point-wise channel attention for exchanging high-level semantics and subtle low-level details. We report ablation studies and comparisons to state-of-the-art methods, where we find that our approach performs significantly better. Our dataset and code are available online.

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YimianDai/open-acmOfficial100%

code and trained models for "Asymmetric Contextual Modulation for Infrared Small Target Detection"

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Cite this paper

@article{dai2020asymmetric,
  title  = {Asymmetric Contextual Modulation for Infrared Small Target Detection},
  author = {Yimian Dai and Yiquan Wu and Fei Zhou and Kobus Barnard},
  year   = {2020},
  eprint = {2009.14530},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2009.14530}
}

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