Infrared Small Target Detection

Overview

Infrared small target detection aims to localize dim objects that may occupy only a few pixels and resemble background clutter. Methods range from low-rank and sparse decomposition to CNN and transformer-style detectors that use multiscale features, frequency cues, physical priors, and, for video, motion across frames. Current work also explores point- or box-supervised training, pseudo-labels, and lightweight models for real-time use. A central challenge is improving detection and localization without increasing false alarms, especially across unfamiliar scenes, degraded imagery, and limited or noisy annotations.

Latest papers

CardsList

43 papers7 papers in the last four weeks, up 75% on the four weeks before. 0.0% of all new papers.

  1. On-Orbit Real-Time Wildfire Detection Under On-Board Constraints

    May 7, 2026Matthias Rötzer, Veronika Pörtge, Martin Ickerott +6Efficient Neural Network InferenceWildfire Detection

  2. Selective Attention-Based Network for Robust Infrared Small Target Detection

    Apr 27, 2026Yingming Zhang, Wuqi Su, Qing Xiao +1Infrared Small Target DetectionMulti-Scale Feature Fusion

  3. Revisiting the Scale Loss Function and Gaussian-Shape Convolution for Infrared Small Target Detection

    Apr 11, 2026Hao Li, Man Fung ZhuoInfrared Small Target DetectionInfrared Object Detection

  4. Rethinking Representations for Cross-Domain Infrared Small Target Detection: A Generalizable Perspective from the Frequency Domain

    Apr 2, 2026Yimin Fu, Songbo Wang, Feiyan Wu +3Infrared Small Target DetectionCross-Domain Generalization

  5. FSGNet: A Frequency-Aware and Semantic Guidance Network for Infrared Small Target Detection

    Mar 26, 2026Yingmei Zhang, Wangtao Bao, Yong Yang +3Infrared Small Target DetectionObject Detection

  6. Point-to-Mask: From Arbitrary Point Annotations to Mask-Level Infrared Small Target Detection

    Mar 17, 2026Weihua Gao, Wenlong Niu, Jie Tang +3Infrared Small Target DetectionObject Detection

  7. MI-DETR: A Strong Baseline for Moving Infrared Small Target Detection with Motion Integration

    Mar 5, 2026Nian Liu, Jin Gao, Zhen Liang +5Infrared Small Target DetectionFeature Fusion

  8. Dynamic High-frequency Convolution for Infrared Small Target Detection

    Feb 3, 2026Ruojing Li, Chao Xiao, Qian Yin +5Dynamic ConvolutionFrequency-Domain Feature Learning