mlsanityData to 14 Oct 2026

A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images

arXiv 2409.15332 ↗First posted 7 Sep 2024eess.IV cs.CVcited by 11

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Abstract (arXiv)

This paper presents a lightweight image fusion algorithm specifically designed for merging visible light and infrared images, with an emphasis on balancing performance and efficiency. The proposed method enhances the generator in a Generative Adversarial Network (GAN) by integrating the Convolutional Block Attention Module (CBAM) to improve feature focus and utilizing Depthwise Separable Convolution (DSConv) for more efficient computations. These innovations significantly reduce the model's computational cost, including the number of parameters and inference latency, while maintaining or even enhancing the quality of the fused images. Comparative experiments using the M3FD dataset demonstrate that the proposed algorithm not only outperforms similar image fusion methods in terms of fusion quality but also offers a more resource-efficient solution suitable for deployment on embedded devices. The effectiveness of the lightweight design is validated through extensive ablation studies, confirming its potential for real-time applications in complex environments.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 15 of its 22 references that are in the map. First posted on arXiv 7 Sep 2024.

Builds on

15 of 22 references.

References · 15

  1. 2017Generative Adversarial Networks: An Overviewcited by 590
  2. 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 90
  3. 2024Survival Prediction Across Diverse Cancer Types Using Neural Networkscited by 80
  4. 2024Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an examplecited by 50
  5. 2024Exploring Diverse Methods in Visual Question Answeringcited by 45
  6. 2018Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagerycited by 43
  7. 2024Efficiency optimization of large-scale language models based on deep learning in natural language processing taskscited by 14
  8. 2024Application of Multimodal Fusion Deep Learning Model in Disease Recognitioncited by 12
  9. 2024A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methodscited by 12
  10. 2024Infrared Image Super-Resolution via Lightweight Information Split Networkcited by 11
  11. 2024Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Datacited by 11
  12. 2024An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentationcited by 10
3 more
  1. 2024Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysiscited by 10
  2. 2024Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Networkcited by 7
  3. 2024Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Techniquecited by 7

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Cited by year

Citing papers per year: 2024: 11.

11 papers.

  1. 2024Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networkscited by 33
  2. 2024Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layoutcited by 14
  3. 2024Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learningcited by 13
  4. 2024Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classificationcited by 11
  5. 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentationcited by 10
  6. 2024Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphscited by 9
  7. 2024Enhancing Few-Shot Learning with Integrated Data and GAN Model Approachescited by 9
  8. 2024Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applicationscited by 8
  9. 2024Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Studycited by 8
  10. 2024Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Datacited by 7
  11. 2024Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Managementcited by 6