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        TITLE = "AdvCapsNet: To defense adversarial attacks based on Capsule networks",
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@article{bb139803,
        AUTHOR = "Ding, X.H. and Li, Y. and Yang, J. and Li, H.P. and Liu, L.J. and Liu, Y.X.Y. and Zhang, C.",
        TITLE = "An Adaptive Capsule Network for Hyperspectral Remote Sensing
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@article{bb139804,
        AUTHOR = "Tan, X. and Xue, Z.X. and Yu, X. and Sun, Y.F. and Gao, K.L.",
        TITLE = "Hyperspectral image classification with deep 3D capsule network and
Markov random field",
        JOURNAL = IET-IPR,
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        YEAR = "2022",
        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern650cap2.html#TT135813"}

@article{bb139805,
        AUTHOR = "Cao, Y. and Ji, H.B. and Zhang, W.B. and Shirani, S.",
        TITLE = "Feature Aggregation Networks Based on Dual Attention Capsules for
Visual Object Tracking",
        JOURNAL = CirSysVideo,
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@article{bb139806,
        AUTHOR = "Shi, R.Y. and Niu, L.F. and Zhou, R.Z.",
        TITLE = "Sparse CapsNet with explicit regularizer",
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        TITLE = "Multiscale Feature Aggregation Capsule Neural Network for
Hyperspectral Remote Sensing Image Classification",
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@article{bb139808,
        AUTHOR = "Tao, J.W. and Zhang, X.K. and Luo, X.X. and Wang, Y. and Song, C. and Sun, Y.",
        TITLE = "Adaptive Capsule Network",
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@article{bb139809,
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        TITLE = "Capsule Boundary Network With 3D Convolutional Dynamic Routing for
Temporal Action Detection",
        JOURNAL = CirSysVideo,
        VOLUME = "32",
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@article{bb139810,
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        TITLE = "Automated Brain Imaging Diagnosis and Classification Model using Rat
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@article{bb139812,
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@article{bb139813,
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@article{bb139815,
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@inproceedings{bb139818,
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@inproceedings{bb139819,
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@inproceedings{bb139820,
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@inproceedings{bb139823,
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@inproceedings{bb139824,
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@inproceedings{bb139828,
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@inproceedings{bb139829,
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@inproceedings{bb139831,
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@inproceedings{bb139832,
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@inproceedings{bb139834,
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@inproceedings{bb139861,
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@article{bb139869,
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@article{bb139870,
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@article{bb139872,
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@article{bb139874,
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Sequential Views by RNN With Attention",
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@article{bb139879,
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@article{bb139881,
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