mlsanityData to 7 Oct 2026

AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection

arXiv 2111.03580 ↗First posted 5 Nov 2021cs.CVcited by 15

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Abstract (arXiv)

Infrared small target detection is an important problem in many fields such as earth observation, military reconnaissance, disaster relief, and has received widespread attention recently. This paper presents the Attention-Guided Pyramid Context Network (AGPCNet) algorithm. Its main components are an Attention-Guided Context Block (AGCB), a Context Pyramid Module (CPM), and an Asymmetric Fusion Module (AFM). AGCB divides the feature map into patches to compute local associations and uses Global Context Attention (GCA) to compute global associations between semantics, CPM integrates features from multi-scale AGCBs, and AFM integrates low-level and deep-level semantics from a feature-fusion perspective to enhance the utilization of features. The experimental results illustrate that AGPCNet has achieved new state-of-the-art performance on two available infrared small target datasets. The source codes are available at https://github.com/Tianfang-Zhang/AGPCNet.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 16 of its 38 references that are in the map. First posted on arXiv 5 Nov 2021.

Builds on

16 of 38 references.

References · 16

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4 more
  1. 2018OCNet: Object Context Network for Scene Parsingcited by 140
  2. 2020Asymmetric Contextual Modulation for Infrared Small Target Detectioncited by 136
  3. 2017Reweighted Infrared Patch-Tensor Model With Both Non-Local and Local Priors for Single-Frame Small Target Detectioncited by 72
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 7; 2025: 2; 2026: 2.

15 papers.

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  1. 2024HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detectioncited by 18
  2. 2023ABC: Attention with Bilinear Correlation for Infrared Small Target Detectioncited by 15
  3. 2023EFLNet: Enhancing Feature Learning for Infrared Small Target Detectioncited by 15
  4. 2024TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detectioncited by 12
  5. 2024CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applicationscited by 12
  6. 2024SSTD: Stripe-Like Space Target Detection Using Single-Point Weak Supervisioncited by 2
  7. 2025CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detectioncited by 2
  8. 2023Local Contrast and Global Contextual Information Make Infrared Small Object Salient Againcited by 1
  9. 2023Improved Dense Nested Attention Network Based on Transformer for Infrared Small Target Detectioncited by 1
  10. 2024Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modelingcited by 1
  11. 2024Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-Like Space Target Detectioncited by 0
  12. 2024SFA-UNet: More Attention to Multi-Scale Contrast and Contextual Information in Infrared Small Object Segmentationcited by 0
3 more
  1. 2025Dual-Granularity Semantic Prompting for Language Guidance Infrared Small Target Detectioncited by 0
  2. 2026Breaking Self-Attention Failure: Rethinking Query Initialization for Infrared Small Target Detectioncited by 0
  3. 2026RPCASSM: Robust PCA State Space Model For Infrared Small Target Detectioncited by 0