mlsanityData to 7 Oct 2026

Binarized Spectral Compressive Imaging

arXiv 2305.10299 ↗First posted 17 May 2023cs.CV eess.IVcited by 23

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Abstract (arXiv)

Existing deep learning models for hyperspectral image (HSI) reconstruction achieve good performance but require powerful hardwares with enormous memory and computational resources. Consequently, these methods can hardly be deployed on resource-limited mobile devices. In this paper, we propose a novel method, Binarized Spectral-Redistribution Network (BiSRNet), for efficient and practical HSI restoration from compressed measurement in snapshot compressive imaging (SCI) systems. Firstly, we redesign a compact and easy-to-deploy base model to be binarized. Then we present the basic unit, Binarized Spectral-Redistribution Convolution (BiSR-Conv). BiSR-Conv can adaptively redistribute the HSI representations before binarizing activation and uses a scalable hyperbolic tangent function to closer approximate the Sign function in backpropagation. Based on our BiSR-Conv, we customize four binarized convolutional modules to address the dimension mismatch and propagate full-precision information throughout the whole network. Finally, our BiSRNet is derived by using the proposed techniques to binarize the base model. Comprehensive quantitative and qualitative experiments manifest that our proposed BiSRNet outperforms state-of-the-art binarization methods and achieves comparable performance with full-precision algorithms. Code and models are publicly available at https://github.com/caiyuanhao1998/BiSCI and https://github.com/caiyuanhao1998/MST

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). Builds on 33 of its 72 references that are in the map. First posted on arXiv 17 May 2023.

Builds on

33 of 72 references.

References · 33

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
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  9. 2016Pruning Filters for Efficient ConvNetscited by 1,129
  10. 2016XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networkscited by 829
  11. 2015BinaryConnect: Training Deep Neural Networks with binary weights during propagationscited by 571
  12. 2017Efficient Processing of Deep Neural Networks: A Tutorial and Surveycited by 427
21 more
  1. 2018Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithmcited by 233
  2. 2020Binary Neural Networks: A Surveycited by 184
  3. 2020ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functionscited by 183
  4. 2019Forward and Backward Information Retention for Accurate Binary Neural Networkscited by 169
  5. 2017Towards Accurate Binary Convolutional Neural Networkcited by 148
  6. 2021Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstructioncited by 110
  7. 2018Rank Minimization for Snapshot Compressive Imagingcited by 99
  8. 2022MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstructioncited by 72
  9. 2022Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstructioncited by 67
  10. 2022HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imagingcited by 66
  11. 2022Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imagingcited by 66
  12. 2019Regularizing Activation Distribution for Training Binarized Deep Networkscited by 61
  13. 2021Deep Gaussian Scale Mixture Prior for Spectral Compressive Imagingcited by 58
  14. 2013Coded aperture compressive temporal imagingcited by 57
  15. 2020What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspectivecited by 35
  16. 2021Self-supervised Neural Networks for Spectral Snapshot Compressive Imagingcited by 35
  17. 2019daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devicescited by 27
  18. 2021HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imagingcited by 26
  19. 2022Basic Binary Convolution Unit for Binarized Image Restoration Networkcited by 22
  20. 2015Compressive Hyperspectral Imaging with Side Informationcited by 19
  21. 2017Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Mapscited by 13

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 5; 2025: 12; 2026: 3.

23 papers.

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  1. 2024NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Resultscited by 26
  2. 2024Binarized Low-light Raw Video Enhancementcited by 17
  3. 2023In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imagingcited by 8
  4. 2025Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicingcited by 7
  5. 2024Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysiscited by 5
  6. 2025Information-Bottleneck Driven Binary Neural Network for Change Detectioncited by 2
  7. 2023BinaryHPE: 3D Human Pose and Shape Estimation via Binarizationcited by 1
  8. 2024BiDense: Binarization for Dense Predictioncited by 1
  9. 202510K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detectioncited by 1
  10. 2025PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imagingcited by 1
  11. 2025BiVM: Accurate Binarized Neural Network for Efficient Video Mattingcited by 1
  12. 2025LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imagingcited by 1
11 more
  1. 2023Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependencecited by 0
  2. 2024BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Networkcited by 0
  3. 2025High-Fidelity Differential-information Driven Binary Vision Transformercited by 0
  4. 2025MCGA: Mixture of Codebooks Hyperspectral Reconstruction via Grayscale-Aware Attentioncited by 0
  5. 2025Learning Spectral Diffusion Prior for Hyperspectral Image Reconstructioncited by 0
  6. 2025SlowFast-SCI: Slow-Fast Deep Unfolding Learning for Spectral Compressive Imagingcited by 0
  7. 2025Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstructioncited by 0
  8. 2025UniRSCD: A Unified Novel Architectural Paradigm for Remote Sensing Change Detectioncited by 0
  9. 2026BinaryDemoire: Moir'e-Aware Binarization for Image Demoir'eingcited by 0
  10. 2026EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusioncited by 0
  11. 2026Binarized High-Efficiency RAW Video Restoration and Beyondcited by 0