Quality (philosophy)

Philosophy

Pure mathematics

Microeconomics

Scarcity

Infrared

Modulation (music)

Field (mathematics)

Economics

Set (abstract data type)

Computer science

Semantics (computer science)

Code (set theory)

Physics

Aesthetics

Mathematics

Optics

Epistemology

Artificial intelligence

Information retrieval

Programming language

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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .

Asymmetric Contextual Modulation for Infrared Small Target Detection