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Asymmetric Contextual Modulation for Infrared Small Target Detection

arXiv 2009.14530 ↗First posted 30 Sep 2020cs.CVcited by 136

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Abstract (arXiv)

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.

Key facts. Cited by 136 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 9; 2023: 14; 2024: 39; 2025: 38; 2026: 31.

136 papers.

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  1. 2021Dense Nested Attention Network for Infrared Small Target Detectioncited by 132
  2. 2022UIU-Net: U-Net in U-Net for Infrared Small Object Detectioncited by 124
  3. 2024Infrared Small Target Detection with Scale and Location Sensitivitycited by 70
  4. 2024SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detectioncited by 60
  5. 2024MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detectioncited by 59
  6. 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervisioncited by 50
  7. 2022MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detectioncited by 47
  8. 2024IRSAM: Advancing Segment Anything Model for Infrared Small Target Detectioncited by 45
  9. 2023RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detectioncited by 43
  10. 2024Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselinescited by 27
  11. 2022One-Stage Cascade Refinement Networks for Infrared Small Target Detectioncited by 25
  12. 2024SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detectioncited by 22
38 more
  1. 2023Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detectioncited by 19
  2. 2024HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detectioncited by 18
  3. 2023ILNet: Low-level Matters for Salient Infrared Small Target Detectioncited by 17
  4. 2024SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detectioncited by 17
  5. 2024Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attentioncited by 17
  6. 2021AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detectioncited by 15
  7. 2023ABC: Attention with Bilinear Correlation for Infrared Small Target Detectioncited by 15
  8. 2023EFLNet: Enhancing Feature Learning for Infrared Small Target Detectioncited by 15
  9. 2024Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detectioncited by 15
  10. 2021Infrared Small-Dim Target Detection with Transformer under Complex Backgroundscited by 12
  11. 2024Multi-Scale Direction-Aware Network for Infrared Small Target Detectioncited by 12
  12. 2024DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detectioncited by 12
  13. 2025Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Bettercited by 11
  14. 2025RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentationcited by 11
  15. 2024From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervisioncited by 10
  16. 2025DRPCA-Net: Make Robust PCA Great Again for Infrared Small Target Detectioncited by 10
  17. 2024Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detectioncited by 9
  18. 2024Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Frameworkcited by 9
  19. 2022Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolutioncited by 8
  20. 2024Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Priorcited by 8
  21. 2024Towards Robust Infrared Small Target Detection: A Feature-Enhanced and Sensitivity-Tunable Frameworkcited by 8
  22. 2024Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generationcited by 8
  23. 2024ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destripingcited by 7
  24. 2025Text-IRSTD: Leveraging Semantic Text to Promote Infrared Small Target Detection in Complex Scenescited by 7
  25. 2025Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspectivecited by 7
  26. 2024SpecDETR: A transformer-based hyperspectral point object detection networkcited by 6
  27. 2022A Multi-task Framework for Infrared Small Target Detection and Segmentationcited by 5
  28. 2025DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixingcited by 5
  29. 2021Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detectioncited by 4
  30. 2023SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolutioncited by 4
  31. 2024SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detectorcited by 4
  32. 2025Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learningcited by 4
  33. 2025SDS-Net: Shallow-Deep Synergism-detection Network for infrared small target detectioncited by 4
  34. 2025Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challengescited by 4
  35. 2025Rethinking Evaluation of Infrared Small Target Detectioncited by 4
  36. 2026Dynamic High-frequency Convolution for Infrared Small Target Detectioncited by 4
  37. 2021DRPN: Making CNN Dynamically Handle Scale Variationcited by 3
  38. 2024Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Featurescited by 3

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