Xiang, C.,
Zhang, L.,
Tang, Y.,
Zou, W.,
Xu, C.,
MS-CapsNet: A Novel Multi-Scale Capsule Network,
SPLetters(25), No. 12, December 2018, pp. 1850-1854.
IEEE DOI
1812
feature extraction, image classification, image representation,
network theory (graphs), image classification,
deep learning
BibRef
Rosario, V.M.d.,
Borin, E.,
Breternitz, M.,
The Multi-Lane Capsule Network,
SPLetters(26), No. 7, July 2019, pp. 1006-1010.
IEEE DOI
1906
convolutional neural nets, learning (artificial intelligence),
parallel processing, multilane capsule network, MLCN,
CNN
BibRef
Paoletti, M.E.[Mercedes E.],
Haut, J.M.[Juan M.],
Fernandez-Beltran, R.,
Plaza, J.[Javier],
Plaza, A.J.[Antonio J.],
Li, J.[Jun],
Pla, F.[Filiberto],
Capsule Networks for Hyperspectral Image Classification,
GeoRS(57), No. 4, April 2019, pp. 2145-2160.
IEEE DOI
1904
convolutional neural nets, hyperspectral imaging,
image classification, learning (artificial intelligence),
hyperspectral imaging (HSI)
See also Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification.
BibRef
Ding, X.,
Wang, N.,
Gao, X.,
Li, J.,
Wang, X.,
Liu, T.,
Group Feedback Capsule Network,
IP(29), 2020, pp. 6789-6799.
IEEE DOI
2007
Routing, Neurons, Transforms, Heuristic algorithms, Convolution, Nose,
Capsule networks, network architecture design
BibRef
Mandal, B.[Bodhisatwa],
Sarkhel, R.[Ritesh],
Ghosh, S.[Swarnendu],
Das, N.[Nibaran],
Nasipuri, M.[Mita],
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in
Multi-Column Capsule Networks,
PR(109), 2021, pp. 107595.
Elsevier DOI
2009
Dynamic routing, Routing by agreement, Multi-level,
Multi-column neural network, Capsule networks
BibRef
Amira, O.[Ouafa],
Xu, S.[Shuang],
Du, F.[Fang],
Zhang, J.S.[Jiang-She],
Zhang, C.X.[Chun-Xia],
Hamza, R.[Rafik],
Weighted-capsule routing via a fuzzy gaussian model,
PRL(138), 2020, pp. 424-430.
Elsevier DOI
1806
Capsule network, Deep learning, Image classification,
Weighted capsule fuzzy gaussian model, Pose loss
BibRef
Xiang, C.,
Wang, Z.,
Tian, S.,
Liao, J.,
Zou, W.,
Xu, C.,
Matrix Capsule Convolutional Projection for Deep Feature Learning,
SPLetters(27), 2020, pp. 1899-1903.
IEEE DOI
2011
Task analysis, Object detection, Training, Convolution, Semantics,
Mathematical model, Encoding, Capsule network, classification,
orthogonal projection
BibRef
Zhang, S.F.[Suo-Fei],
Fan, W.H.[Wen-Hao],
Wu, X.F.[Xiao-Fu],
Towards capsule routing as reconstruction with sparsity constraints,
PRL(140), 2020, pp. 193-199.
Elsevier DOI
2012
Capsule networks, Dynamic routing, Deep learning
BibRef
Li, Y.Q.[Yue-Qiao],
Su, H.[Hang],
Zhu, J.[Jun],
AdvCapsNet: To defense adversarial attacks based on Capsule networks,
JVCIR(75), 2021, pp. 103037.
Elsevier DOI
2103
Capsule, Adversarial, Defense, Robustness
BibRef
Peer, D.[David],
Stabinger, S.[Sebastian],
Rodríguez-Sánchez, A.[Antonio],
Limitation of capsule networks,
PRL(144), 2021, pp. 68-74.
Elsevier DOI
2103
Capsule networks, Deep learning, Limitation, Universal approximator
BibRef
Ding, X.H.[Xiao-Hui],
Li, Y.[Yong],
Yang, J.[Ji],
Li, H.P.[Hua-Peng],
Liu, L.J.[Ling-Jia],
Liu, Y.X.Y.[Yang-Xiao-Yue],
Zhang, C.[Ce],
An Adaptive Capsule Network for Hyperspectral Remote Sensing
Classification,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Tan, X.[Xiong],
Xue, Z.X.[Zhi-Xiang],
Yu, X.[Xuchu],
Sun, Y.F.[Yi-Fan],
Gao, K.L.[Kui-Liang],
Hyperspectral image classification with deep 3D capsule network and
Markov random field,
IET-IPR(16), No. 1, 2022, pp. 79-91.
DOI Link
2112
BibRef
Cao, Y.[Yi],
Ji, H.B.[Hong-Bing],
Zhang, W.B.[Wen-Bo],
Shirani, S.[Shahram],
Feature Aggregation Networks Based on Dual Attention Capsules for
Visual Object Tracking,
CirSysVideo(32), No. 2, February 2022, pp. 674-689.
IEEE DOI
2202
Feature extraction, Neurons, Visualization, Object tracking,
Computational modeling, Interference, Benchmark testing,
penalty attention
BibRef
Shi, R.Y.[Rui-Yang],
Niu, L.F.[Ling-Feng],
Zhou, R.Z.[Rui-Zhi],
Sparse CapsNet with explicit regularizer,
PR(124), 2022, pp. 108486.
Elsevier DOI
2203
Capsule network, Model compression, Sparse regularization,
Proximal gradient descent
BibRef
Lei, R.M.[Run-Min],
Zhang, C.J.[Chun-Ju],
Zhang, X.Y.[Xue-Ying],
Huang, J.W.[Jian-Wei],
Li, Z.X.[Zhen-Xuan],
Liu, W.C.[Wen-Cong],
Cui, H.[Hao],
Multiscale Feature Aggregation Capsule Neural Network for
Hyperspectral Remote Sensing Image Classification,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Tao, J.W.[Jian-Wei],
Zhang, X.K.[Xian-Kun],
Luo, X.X.[Xue-Xiong],
Wang, Y.[Yuan],
Song, C.[Chen],
Sun, Y.[Yue],
Adaptive Capsule Network,
CVIU(218), 2022, pp. 103405.
Elsevier DOI
2205
Capsule network, Adaptive value, Primary capsule layer,
Spatial relationship, Convolutional neural networks
BibRef
Chen, Y.S.[Yao-Sen],
Guo, B.[Bing],
Shen, Y.[Yan],
Wang, W.[Wei],
Lu, W.C.[Wei-Chen],
Suo, X.H.[Xin-Hua],
Capsule Boundary Network With 3D Convolutional Dynamic Routing for
Temporal Action Detection,
CirSysVideo(32), No. 5, May 2022, pp. 2962-2975.
IEEE DOI
2205
Proposals, Feature extraction, Routing,
Task analysis, Heuristic algorithms, Tensors, video features
BibRef
Ren, H.[Hao],
Lu, H.[Hong],
Compositional coding capsule network with k-means routing for text
classification,
PRL(160), 2022, pp. 1-8.
Elsevier DOI
2208
Text classification, Capsule network, Compositional code, Deep learning
BibRef
Vasantharaj, A.,
Rani, P.S.[Pacha Shoba],
Huque, S.[Sirajul],
Raghuram, K.S.,
Ganeshkumar, R.,
Shafi, S.N.[Sebahadin Nasir],
Automated Brain Imaging Diagnosis and Classification Model using Rat
Swarm Optimization with Deep Learning based Capsule Network,
IJIG(23), No. 3 2023, pp. 2240001.
DOI Link
2306
BibRef
Wei, S.Q.[Si-Qi],
Liu, Y.F.[Ya-Fei],
Li, M.S.[Meng-Shan],
Huang, H.J.[Hai-Jun],
Zheng, X.[Xin],
Guan, L.X.[Li-Xin],
DCCaps-UNet: A U-Shaped Hyperspectral Semantic Segmentation Model
Based on the Depthwise Separable and Conditional Convolution Capsule
Network,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Noor, K.T.[Khondaker Tasrif],
Robles-Kelly, A.[Antonio],
H-CapsNet: A capsule network for hierarchical image classification,
PR(147), 2024, pp. 110135.
Elsevier DOI
2312
Capsule networks, Hierarchical image classification,
Convolutional neural networks, Deep learning
BibRef
Noor, K.T.[Khondaker Tasrif],
Robles-Kelly, A.[Antonio],
Kusy, B.[Brano],
A Capsule Network for Hierarchical Multi-label Image Classification,
SSSPR22(163-172).
Springer DOI
2301
BibRef
Lin, Z.Q.[Zhong-Qi],
Jiang, X.D.[Xu-Dong],
Zheng, Z.[Zengwei],
A coarse-to-fine pattern parser for mitigating the issue of drastic
imbalance in pixel distribution,
PR(148), 2024, pp. 110143.
Elsevier DOI
2402
Pattern parsing, Unbalanced distribution of pixels,
Graph attention, Capsule network
BibRef
Chen, R.[Ran],
Shen, H.[Hao],
Zhao, Z.Q.[Zhong-Qiu],
Yang, Y.[Yi],
Zhang, Z.[Zhao],
Global routing between capsules,
PR(148), 2024, pp. 110142.
Elsevier DOI Code:
WWW Link.
2402
CapsNet, Global routing, Multi-branch, Straight-through-routing
BibRef
Boruah, M.[Minakshi],
Das, R.[Ranjita],
MLCapsNet+: A multi-capsule network for the identification of the HIV
ISs along important sequence positions,
IVC(145), 2024, pp. 104990.
Elsevier DOI
2405
Capsule network, Convolutional neural network,
Deep neural network, DNA sequence, HIV, Integration sites
BibRef
Sengül, S.B.[Sümeyra Büsra],
Özkan, I.A.[Ilker Ali],
MResCaps: Enhancing capsule networks with parallel lanes and residual
blocks for high-performance medical image classification,
IJIST(34), No. 4, 2024, pp. e23108.
DOI Link
2406
capsule network, classification, complex image, medical image, residual block
BibRef
Zeng, R.[Ru],
Song, Y.[Yan],
Zhong, Y.J.[Yag-Jiu],
An interpretable unsupervised capsule network via comprehensive
contrastive learning and two-stage training,
PR(158), 2025, pp. 111059.
Elsevier DOI
2411
Unsupervised capsule network, Comprehensive contrastive loss,
Routing algorithm, Interpretability, Primary capsules
BibRef
Hoogi, A.[Assaf],
Wilcox, B.[Brian],
Gupta, Y.[Yachee],
Rubin, D.[Daniel],
Self-attention Capsule Network for Tissue Classification in Case of
Challenging Medical Image Statistics,
MCV22(219-235).
Springer DOI
2304
BibRef
Tran, M.[Minh],
Vo-Ho, V.K.[Viet-Khoa],
Le, N.T.H.[Ngan T.H.],
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical
Image Segmentation,
ICPR22(4392-4398)
IEEE DOI
2212
CNN features, Capsule for structure.
Representation learning, Image segmentation, Visualization,
Training data, Robustness, Task analysis
BibRef
Thiele, S.[Sebastian],
Risse, B.[Benjamin],
Narrowing Attention in Capsule Networks,
ICPR22(2679-2685)
IEEE DOI
2212
Couplings, Training, Computational modeling, Architecture, Routing,
Feature extraction, Robustness
BibRef
Niu, S.Y.[Shu-Yi],
Sun, J.X.[Jun-Xiao],
Kong, Y.Y.[You-Yong],
Shu, H.Z.[Hua-Zhong],
GCN2CAPS: Graph Convolutional Network to Capsule Network For
Wide-Field Robust Graph Learning,
ICPR22(2219-2223)
IEEE DOI
2212
Convolution, Feature extraction, Robustness, Graph neural networks,
Data mining, Graph Representations, Multi-field Graph Learning,
Min-cut Constraint
BibRef
Renzulli, R.[Riccardo],
Grangetto, M.[Marco],
Towards Efficient Capsule Networks,
ICIP22(2801-2805)
IEEE DOI
2211
Training, Performance evaluation, Computational modeling,
Scalability, Neural networks, Memory management, pruning
BibRef
Yu, C.[Chang],
Zhu, X.Y.[Xiang-Yu],
Zhang, X.M.[Xiao-Mei],
Wang, Z.[Zidu],
Zhang, Z.X.[Zhao-Xiang],
Lei, Z.[Zhen],
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing
Capsule Network,
CVPR22(4022-4031)
IEEE DOI
2210
Training, Semantics, Neural networks, Transformers,
Faces, Face and gestures,
Self- semi- meta- unsupervised learning
BibRef
Pan, C.B.[Chen-Bin],
Velipasalar, S.[Senem],
PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for
Deeper Architectures,
ICCV21(11976-11985)
IEEE DOI
2203
Codes, Computational modeling, Scalability, Semantics,
Object detection, Representation learning
BibRef
Zhou, Q.Q.[Qin-Qin],
Zheng, X.[Xiawu],
Cao, L.J.[Liu-Juan],
Zhong, B.N.[Bi-Neng],
Xi, T.[Teng],
Zhang, G.[Gang],
Ding, E.[Errui],
Xu, M.L.[Ming-Liang],
Ji, R.R.[Rong-Rong],
EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS,
ICCV21(11966-11975)
IEEE DOI
2203
Bridges, Correlation, Graphics processing units, Transforms,
Optimization, Machine learning architectures and formulations, Explainable AI
BibRef
Sato, T.[Takumi],
Hotta, K.[Kazuhiro],
CNN to Capsule Network Transformation,
DICTA20(1-2)
IEEE DOI
2201
Image segmentation, Microprocessors, Transfer learning, Stacking,
Semantics, Network architecture, Task analysis, Capsule Network,
cell segmentation
BibRef
Jeong, M.[Minki],
Kim, C.[Changick],
A Parameter Efficient Multi-Scale Capsule Network,
ICIP21(739-743)
IEEE DOI
2201
Training, Image processing, Capsule network, Parameter reduction, Multi-scale
BibRef
Rezwan, I.M.[Ifty Mohammad],
Ahmed, M.B.[Mirza Belal],
Sourav, S.S.[Shazzad Sakim],
Quader, E.[Ezab],
Hossain, A.[Arafat],
Mohammed, N.[Nabeel],
MixCaps: Capsules With Iteration Free Routing,
DICTA20(1-8)
IEEE DOI
2201
Computational modeling, Digital images, Memory management, Routing,
Feature extraction, capsule neural networks, routing
BibRef
Pucci, R.[Rita],
Micheloni, C.[Christian],
Martinel, N.[Niki],
Self-Attention Agreement Among Capsules,
DSC21(272-280)
IEEE DOI
2112
Training, Head,
Benchmark testing, Routing, Data models
BibRef
Gu, J.D.[Jin-Dong],
Tresp, V.[Volker],
Hu, H.[Han],
Capsule Network is Not More Robust than Convolutional Network,
CVPR21(14304-14312)
IEEE DOI
2111
Aggregates, Semantics, Routing, Robustness,
Task analysis
BibRef
Ma, D.[Ding],
Wu, X.Q.[Xiang-Qian],
CapsuleRRT: Relationships-aware Regression Tracking via Capsules,
CVPR21(10943-10952)
IEEE DOI
2111
Target tracking, Meetings, Routing,
Task analysis, Image classification
BibRef
Pucci, R.[Rita],
Micheloni, C.[Christian],
Foresti, G.L.[Gian Luca],
Martinel, N.[Niki],
Fixed simplex coordinates for angular margin loss in CapsNet,
ICPR21(3042-3049)
IEEE DOI
2105
Training, Analytical models, Image coding, Computational modeling,
Predictive models, Benchmark testing, image analysis
BibRef
Wu, F.Y.[Fang-Yu],
Smith, J.S.[Jeremy S.],
Lu, W.J.[Wen-Jin],
Zhang, B.L.[Bai-Ling],
Pose-robust Face Recognition by Deep Meta Capsule network-based
Equivariant Embedding,
ICPR21(8695-8702)
IEEE DOI
2105
Databases, Face recognition, Aerospace electronics, Feature extraction
BibRef
Özcan, B.[Baris],
Kinli, F.[Furkan],
Kiraç, F.[Furkan],
Quaternion Capsule Networks,
ICPR21(6858-6865)
IEEE DOI
2105
Visualization, Quaternions, Neurons, Benchmark testing, Tools,
Computational efficiency
BibRef
RaviPrakash, H.[Harish],
Anwar, S.M.[Syed Muhammad],
Bagci, U.[Ulas],
Variational Capsule Encoder,
ICPR21(5820-5827)
IEEE DOI
2105
Bayes methods, Task analysis,
Image reconstruction, Standards, VAE, capsule network,
deep learning
BibRef
Jung, D.[Dahuin],
Lee, J.H.[Jong-Hyun],
Yi, J.[Jihun],
Yoon, S.R.[Sung-Roh],
iCaps: An Interpretable Classifier via Disentangled Capsule Networks,
ECCV20(XIX:314-330).
Springer DOI
2011
BibRef
Wu, F.Y.[Fang-Yu],
Smith, J.S.[Jeremy S.],
Lu, W.J.[Wen-Jin],
Pang, C.Y.[Chao-Yi],
Zhang, B.L.[Bai-Ling],
Attentive Prototype Few-shot Learning with Capsule Network-based
Embedding,
ECCV20(XXVIII:237-253).
Springer DOI
2011
BibRef
Gu, J.,
Tresp, V.,
Improving the Robustness of Capsule Networks to Image Affine
Transformations,
CVPR20(7283-7291)
IEEE DOI
2008
Routing, Couplings, Robustness, Visualization, Training,
Heuristic algorithms, Backpropagation
BibRef
Piciarelli, C.[Claudio],
Mishra, P.[Pankaj],
Foresti, G.L.[Gian Luca],
Image Anomaly Detection with Capsule Networks and Imbalanced Datasets,
CIAP19(I:257-267).
Springer DOI
1909
BibRef
Phong, N.H.[Nguyen Huu],
Ribeiro, B.[Bernardete],
An Improvement for Capsule Networks Using Depthwise Separable
Convolution,
IbPRIA19(I:521-530).
Springer DOI
1910
image background can challenge its performance.
BibRef
Zhao, L.,
Huang, L.,
Exploring Dynamic Routing As A Pooling Layer,
SDL-CV19(738-742)
IEEE DOI
2004
convolutional neural nets, pooling layer,
routing-by-agreement mechanism, capsule network,
interpretability
BibRef
Rajasegaran, J.[Jathushan],
Jayasundara, V.[Vinoj],
Jayasekara, S.[Sandaru],
Jayasekara, H.[Hirunima],
Seneviratne, S.[Suranga],
Rodrigo, R.[Ranga],
DeepCaps: Going Deeper With Capsule Networks,
CVPR19(10717-10725).
IEEE DOI
2002
BibRef
Ferrarini, B.[Bruno],
Ehsan, S.[Shoaib],
Bartoli, A.E.[Adrien E.],
Leonardis, A.[Aleš],
McDonald-Maier, K.D.[Klaus D.],
Assessing Capsule Networks with Biased Data,
SCIA19(90-100).
Springer DOI
1906
Capsule networks introduced to deal with biased data.
BibRef
Phaye, S.S.R.[Sai Samarth R.],
Sikka, A.[Apoorva],
Dhall, A.[Abhinav],
Bathula, D.R.[Deepti R.],
Multi-level Dense Capsule Networks,
ACCV18(V:577-592).
Springer DOI
1906
BibRef
Ramasinghe, S.[Sameera],
Athuraliya, C.D.,
Khan, S.H.[Salman H.],
A Context-Aware Capsule Network for Multi-label Classification,
BrainDriven18(III:546-554).
Springer DOI
1905
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Recurrent Neural Networks for Shapes and Complex Features, RNN .