Výsledky vyhľadávania - Online convolutional sparse coding

  1. 1

    A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images Autor Li, Haoyue, Zhang, Chengfang, He, Sidi, Feng, Ziliang, Yi, Liangzhong

    ISSN: 2193-567X, 1319-8025, 2191-4281
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023
    “… Online convolutional sparse coding (OCSC) alleviates the disadvantages of large computation and low representation rate of convolutional sparse coding (CSC…”
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    Scalable Online Convolutional Sparse Coding Autor Yaqing Wang, Quanming Yao, Kwok, James T., Ni, Lionel M.

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydavateľské údaje: United States IEEE 01.10.2018
    Vydané v IEEE transactions on image processing (01.10.2018)
    “…Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data…”
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  3. 3

    Image fusion using online convolutional sparse coding Autor Zhang, Chengfang, Zhang, Ziyou, Feng, Ziliang

    ISSN: 1868-5137, 1868-5145
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023
    “…) have disadvantages of heavy computation cost and low representation. Superior signal representation and low spatial complexity of online convolutional sparse coding are exploited to image fusion to compensate for shortcomings of CSC…”
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  4. 4

    Multi-focus image fusion via online convolutional sparse coding Autor Zhang, Chengfang, Zhang, Ziyou, Li, Haoyue, He, Sidi, Feng, Ziliang

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydavateľské údaje: New York Springer US 01.02.2024
    Vydané v Multimedia tools and applications (01.02.2024)
    “… Online Convolutional Sparse Coding (OCSC) is an online version of Convolutional Sparse Coding (CSC…”
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  5. 5

    Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary Autor He, Sidi, Zhang, Chengfang, Li, Haoyue, Feng, Ziliang

    ISSN: 0923-5965
    Vydavateľské údaje: Elsevier B.V 01.01.2025
    “… To overcome this, an online convolutional sparse coding (OCSC) technique was introduced, but its performance is still limited by the number of filters used, affecting overall performance negatively…”
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  6. 6

    Recent advances via convolutional sparse representation model for pixel-level image fusion Autor Pan, Yue, Lan, Tianye, Xu, Chongyang, Zhang, Chengfang, Feng, Ziliang

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydavateľské údaje: New York Springer US 01.05.2024
    Vydané v Multimedia tools and applications (01.05.2024)
    “…) or conventional multiscale transform (MST) have some drawbacks that are difficult to overcome. As an alternative form of SR, convolutional sparse representation (CSR…”
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  7. 7

    Scalable Online Convolutional Sparse Coding Autor Wang, Yaqing, Yao, Quanming, Kwok, James T, Ni, Lionel M

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 02.11.2017
    Vydané v arXiv.org (02.11.2017)
    “…Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data…”
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    Online Rain/Snow Removal from Surveillance Videos Autor Li, Minghan, Cao, Xiangyong, Zhao, Qian, Zhang, Lei, Meng, Deyu

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydavateľské údaje: United States IEEE 01.01.2021
    Vydané v IEEE transactions on image processing (01.01.2021)
    “…Video rain/snow removal from surveillance videos is an important task in the computer vision community since rain/snow existed in videos can severely…”
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    Online Convolutional Sparse Coding with Sample-Dependent Dictionary Autor Wang, Yaqing, Yao, Quanming, Kwok, James T, Ni, Lionel M

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 07.06.2018
    Vydané v arXiv.org (07.06.2018)
    “…Convolutional sparse coding (CSC) has been popularly used for the learning of shift-invariant dictionaries in image and signal processing…”
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  10. 10

    Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding Autor Li, Minghan, Cao, Xiangyong, Zhao, Qian, Zhang, Lei, Gao, Chenqiang, Meng, Deyu

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 13.09.2019
    Vydané v arXiv.org (13.09.2019)
    “… Specifically, the rain/snow is encoded as an online multi-scale convolutional sparse coding (OMS-CSC) model, which not only…”
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    Efficient ADMM-Based Algorithms for Convolutional Sparse Coding Autor Veshki, Farshad, Vorobyov, Sergiy

    ISSN: 1070-9908, 1558-2361
    Vydavateľské údaje: New York IEEE 2022
    “…Convolutional sparse coding improves on the standard sparse approximation by incorporating a global shift-invariant model…”
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    Adversarial Defense by Stratified Convolutional Sparse Coding Autor Sun, Bo, Tsai, Nian-Hsuan, Liu, Fangchen, Yu, Ronald, Su, Hao

    ISSN: 1063-6919
    Vydavateľské údaje: IEEE 01.06.2019
    “… adversarial perturbation, and scale of dataset size. Based on convolutional sparse coding, we construct a stratified low-dimensional quasi-natural image space that…”
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  13. 13

    Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Autor Sulam, Jeremias, Papyan, Vardan, Romano, Yaniv, Elad, Michael

    ISSN: 1053-587X
    Vydavateľské údaje: IEEE 01.08.2018
    “…The recently proposed multilayer convolutional sparse coding (ML-CSC) model, consisting of a cascade of convolutional sparse layers, provides a new interpretation of convolutional neural networks (CNNs…”
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    Effects of Lossy Compression on Remote Sensing Image Classification Based on Convolutional Sparse Coding Autor Wei, Jingru, Mi, Li, Hu, Ye, Ling, Jing, Li, Yawen, Chen, Zhenzhong

    ISSN: 1545-598X, 1558-0571
    Vydavateľské údaje: Piscataway IEEE 2022
    “…) images due to the introduced distortion by compression. In this letter, a convolutional sparse coding (CSC…”
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    Fusion of Visible and Infrared Images Using Efficient Online Convolutional Dictionary Learning Autor Zhang, ChengFang, Yi, Kai

    Vydavateľské údaje: IEEE 01.04.2023
    “… convolutional sparse coding (OCSC) based fusion methods in terms…”
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    Slice-Based Online Convolutional Dictionary Learning Autor Zeng, Yijie, Chen, Jichao, Huang, Guang-Bin

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydavateľské údaje: United States IEEE 01.10.2021
    Vydané v IEEE transactions on cybernetics (01.10.2021)
    “… Such representation has been found useful in batch CDL problems, where the convolutional sparse coding and dictionary learning problem…”
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    Visual tracking using convolutional features with sparse coding Autor Abbass, Mohammed Y., Kwon, Ki-Chul, Kim, Nam, Abdelwahab, Safey A., El-Samie, Fathi E. Abd, Khalaf, Ashraf A. M.

    ISSN: 0269-2821, 1573-7462
    Vydavateľské údaje: Dordrecht Springer Netherlands 01.06.2021
    Vydané v The Artificial intelligence review (01.06.2021)
    “… A sparse measurement matrix is proposed to extract the compressed features for the appearance model without sacrificing the performance…”
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    Efficient Approximate Online Convolutional Dictionary Learning Autor Veshki, Farshad G., Vorobyov, Sergiy A.

    ISSN: 2573-0436, 2333-9403
    Vydavateľské údaje: Piscataway IEEE 2023
    “…Most existing convolutional dictionary learning (CDL) algorithms are based on batch learning, where the dictionary filters and the convolutional sparse representations are optimized in an alternating manner using a training dataset…”
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    Joint Sparse Convolutional Coding for Image Super-Resolution Restoration Autor Tao, Sun, Wei, Chen Hua

    ISBN: 1665405031, 9781665405034
    ISSN: 2576-8964
    Vydavateľské údaje: IEEE 18.12.2020
    “… Convolutional sparse coding uses the global features of image in superresolution reconstruction, and decomposes image wholly into convolution sum of filters and feature map instead of encoding the image patches…”
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    A Noise-Robust Online convolutional coding model and its applications to poisson denoising and image fusion Autor Wang, Wei, Xiang-Xia, He, Chuanjiang, Ren, Zemin, Wang, Tianfu, Lei, Baiying

    ISSN: 1088-8691, 0307-904X
    Vydavateľské údaje: New York Elsevier BV 01.07.2021
    Vydané v Applied Mathematical Modelling (01.07.2021)
    “…In this paper, we propose a noise-robust online convolutional coding model for image representation, which can use the noisy images as training data…”
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