Asymmetric contextual modulation for infrared small target detection

Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalUnknown Journal
StatePublished - Sep 30 2020

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Asymmetric contextual modulation for infrared small target detection'. Together they form a unique fingerprint.

Cite this