mlsanityData to 14 Oct 2026

Shallow-UWnet : Compressed Model for Underwater Image Enhancement

arXiv 2101.02073 ↗First posted 6 Jan 2021cs.CV eess.IVcited by 35

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Abstract (arXiv)

Over the past few decades, underwater image enhancement has attracted increasing amount of research effort due to its significance in underwater robotics and ocean engineering. Research has evolved from implementing physics-based solutions to using very deep CNNs and GANs. However, these state-of-art algorithms are computationally expensive and memory intensive. This hinders their deployment on portable devices for underwater exploration tasks. These models are trained on either synthetic or limited real world datasets making them less practical in real-world scenarios. In this paper we propose a shallow neural network architecture, Shallow-UWnet which maintains performance and has fewer parameters than the state-of-art models. We also demonstrated the generalization of our model by benchmarking its performance on combination of synthetic and real-world datasets.

Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). Builds on 6 of its 12 references that are in the map. First posted on arXiv 6 Jan 2021.

Builds on

6 of 12 references.

References · 6

  1. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
  2. 2017A Survey of Model Compression and Acceleration for Deep Neural Networkscited by 301
  3. 2019An Underwater Image Enhancement Benchmark Dataset and Beyondcited by 253
  4. 2019Fast Underwater Image Enhancement for Improved Visual Perceptioncited by 183
  5. 2017WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Imagescited by 112
  6. 2020Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perceptioncited by 53

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 10; 2025: 11; 2026: 5.

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  1. 2023Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Modelcited by 69
  2. 2022Underwater Light Field Retention : Neural Rendering for Underwater Imagingcited by 22
  3. 2023Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancementcited by 22
  4. 2025UniUIR: Considering Underwater Image Restoration as An All-in-One Learnercited by 22
  5. 2025UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restorationcited by 22
  6. 2024UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancementcited by 18
  7. 2025Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysiscited by 17
  8. 2025MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devicescited by 12
  9. 2023UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformercited by 9
  10. 2024A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learningcited by 9
  11. 2024O-Mamba: O-shape State-Space Model for Underwater Image Enhancementcited by 9
  12. 2024MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restorationcited by 8
23 more
  1. 2024RGB-Sonar Tracking Benchmark and Spatial Cross-Attention Transformer Trackercited by 6
  2. 2024PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancementcited by 6
  3. 2024MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPscited by 5
  4. 2023RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancementcited by 3
  5. 2025Underwater Image Enhancement by Convolutional Spiking Neural Networkscited by 3
  6. 2021A Survey of Fish Tracking Techniques Based on Computer Visioncited by 2
  7. 2024A 7K Parameter Model for Underwater Image Enhancement based on Transmission Map Priorcited by 2
  8. 2024Image-Conditional Diffusion Transformer for Underwater Image Enhancementcited by 2
  9. 2025Unveiling the Underwater World: CLIP Perception Model-Guided Underwater Image Enhancementcited by 2
  10. 2022USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretchcited by 1
  11. 2024Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Modelscited by 1
  12. 2025Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancementcited by 1
  13. 2026On the Global Photometric Alignment for Low-Level Visioncited by 1
  14. 2022HIFI-Net: A Novel Network for Enhancement to Underwater Imagescited by 0
  15. 2023IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwatercited by 0
  16. 2025snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazingcited by 0
  17. 2025Image Restoration via Multi-domain Learningcited by 0
  18. 2025RestoRect: Degraded Image Restoration via Latent Rectified Flow & Feature Distillationcited by 0
  19. 2025JDPNet: A Network Based on Joint Degradation Processing for Underwater Image Enhancementcited by 0
  20. 2026Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missionscited by 0
  21. 2026Halo Separation-guided Underwater Multi-scale Image Restorationcited by 0
  22. 2026Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancementcited by 0
  23. 2026PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancementcited by 0