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2020
- Yimian Dai, Yiquan Wu, Fei Zhou, and 1 more authorFeb 2020
Paper 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.
@misc{dai2020asymmetriccontextualmodulationinfrared, title = {Asymmetric Contextual Modulation for Infrared Small Target Detection}, author = {Dai, Yimian and Wu, Yiquan and Zhou, Fei and Barnard, Kobus}, year = {2020}, eprint = {2009.14530}, archiveprefix = {arXiv}, primaryclass = {cs.CV}, url = {https://arxiv.org/abs/2009.14530} }