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CapsuleGAN: Generative Adversarial Capsule Network [article]

Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan
2018 arXiv   pre-print
We present Generative Adversarial Capsule Network (CapsuleGAN), a framework that uses capsule networks (CapsNets) instead of the standard convolutional neural networks (CNNs) as discriminators within the  ...  generative adversarial network (GAN) setting, while modeling image data.  ...  We propose Generative Adversarial Capsule Network (CapsuleGAN) as a framework that incorporates capsules within the GAN framework.  ... 
arXiv:1802.06167v7 fatcat:5fz6icahyfdq3gietiw3moplsy

CapsuleGAN: Generative Adversarial Capsule Network [chapter]

Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan
2019 Lecture Notes in Computer Science  
We present Generative Adversarial Capsule Network (Cap-suleGAN), a framework that uses capsule networks (CapsNets) instead of the standard convolutional neural networks (CNNs) as discriminators within  ...  the generative adversarial network (GAN) setting, while modeling image data.  ...  We propose Generative Adversarial Capsule Network (CapsuleGAN) as a framework that incorporates capsules within the GAN framework.  ... 
doi:10.1007/978-3-030-11015-4_38 fatcat:zd4mihsqarhf3b5tt6pw3rn54q

Hyperparameter optimisation for Capsule Networks

Gagana B, S Natarajan
2018 EAI Endorsed Transactions on Cloud Systems  
Hence, Hinton et al, proposed a layered architecture called Capsule Networks (Capsnets) which outperform traditional systems by replacing pooling techniques with dynamic routing abilities.  ...  Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that affect classification  ...  Other systems such as CapsuleGAN [8] have been explored where the discriminator of a generative adversarial network(GAN) is replaced by capsules to model different objective functions evaluated qualitatively  ... 
doi:10.4108/eai.13-7-2018.158416 fatcat:6yzmnhvffff53hmcgn32eieyem

Аналіз можливостей капсульних нейронних мереж для вирішення проблем, пов'язаних з розпізнаванням зображень

В.С. Арсенюк, В.М. Барбарук
2020 ВІСНИК СХІДНОУКРАЇНСЬКОГО НАЦІОНАЛЬНОГО УНІВЕРСИТЕТУ імені Володимира Даля  
CapsuleGAN: Generative adversarial capsule network. 2018.  ...  Natarajan [22] запропонували CapsuleGAN, що використовує CapsNet замість стандартних CNN як високопродуктивний дискримінатор в налаштуваннях генеративної змагальної мережі (generative adversarial network  ...  Over the past two years, a significant amount of information has been published about the capsule approach to building neural networks.  ... 
doi:10.33216/1998-7927-2020-263-7-5-17 fatcat:aoug5xv2yndgjc2riw5wujm5ky

FACSCaps: Pose-Independent Facial Action Coding with Capsules

Itir Onal Ertugrul, Laszlo A. Jeni, Jeffrey F. Cohn
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Multi-view Convolutional Neural Networks (CNNs) have been proposed to increase robustness to pose, but they require greater model sizes and may generalize poorly across views that are not included in the  ...  FACSCaps models video frames using matrix capsules, where hierarchical pose relationships between face parts are built into internal representations.  ...  [15] proposed Generative Adversarial Capsule Networks (CapsuleGAN) for modeling image data and showed that CapsuleGAN outperforms convolutional-GAN at modeling image data distribution on the MNIST dataset  ... 
doi:10.1109/cvprw.2018.00287 pmid:30944768 pmcid:PMC6443417 fatcat:b2xqtp5wgfg5hb2vnswv6kacam

Multi-lane Capsule Network for classifying images with complex background

Siwei Chang, Jin Liu
2020 IEEE Access  
Capsule Network (CapsNet) is a novel structure for deep neural network, mapping the region of target instance to vectors and matrices rather than scalars.  ...  We proposed a multi-lane capsule network with strict-squash (MLSCN) to solve this problem.  ...  [26] presented guidelines for designing CapsuleGANs as well as updated objective function for training CapsuleGANs and outperform convolutional-GANs on the generative adversarial metric and at semi-supervised  ... 
doi:10.1109/access.2020.2990700 fatcat:vnnamfyscvhd5pihikg4crmcma

Feature and spatial relationship coding capsule network

Tenghao Han, Rencheng Sun, Fengjing Shao, Yi Sui
2020 Journal of Electronic Imaging (JEI)  
A capsule network encodes entity features into a capsule and maps a spatial relationship from the local feature to the overall feature by dynamic routing.  ...  Therefore, we propose a novel capsule network based on feature and spatial relationship coding (FSc-CapsNet).  ...  CapsuleGAN is superior to a convolutional generative adversarial network at modeling the image data distribution on the MNIST and CIFAR-10 datasets.  ... 
doi:10.1117/1.jei.29.2.023004 fatcat:wfletab7cvg5nadq7qbcleshvm

Futuristic Machine Learning Techniques for Diabetes Detection

Pavan Panakanti
2019 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
So here recent architectures of Convolution based machine learning models like Convolutional Neural Networks (CNN) and Capsule Networks (CapsNet) are discussed.  ...  Next, CapsuleGAN architecture [XXI] is novel step in generative adversarial networks (GAN). Here GAN objective function is also updated.  ...  Capsule Network Capsule Networks (CapsNet) were introduced recently as novel architecture in Neural Networks [XXXXV] .  ... 
doi:10.26782/jmcms.2019.10.00034 fatcat:uuaf7jeq25firpdb75zumb7sca

AffWild Net and Aff-Wild Database [article]

Alvertos Benroumpi, Dimitrios Kollias
2019 arXiv   pre-print
GANs (Generative adversarial networks) In 2014, a new framework for estimating generative models via an adversarial process was proposed [28] .  ...  ://deeplearning4j.org/generative-adversarial-network Figure 2 . 13 : 213 Generated samples (1000th epochs). source: https://github.com/gitlimlab/SSGAN-Tensorflow Figure 2 . 14 : 214 The supervised  ... 
arXiv:1910.05376v2 fatcat:hmrfxdh55vcmbl7msoipgy33du

Group Equivariant Generative Adversarial Networks [article]

Neel Dey, Antong Chen, Soheil Ghafurian
2021 arXiv   pre-print
Recent improvements in generative adversarial visual synthesis incorporate real and fake image transformation in a self-supervised setting, leading to increased stability and perceptual fidelity.  ...  In this work, we explicitly incorporate inductive symmetry priors into the network architectures via group-equivariant convolutional networks.  ...  .: Capsulegan: Generative adversarial capsule network. In: Leal-Taixé, L., Roth, S. (eds.) Computer Vision -ECCV 2018 Workshops. Springer International Publishing, Cham (2019) 28.  ... 
arXiv:2005.01683v2 fatcat:ivkb5w3fl5b2hdyvmkgxfyin3m

SubSpace Capsule Network

Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
generative adversarial network (GAN) framework.  ...  This transformation finds the degree of alignment of the input with the properties modeled by the capsule subspace.We show that SCN is a general capsule network that can successfully be applied to both  ...  CapsuleGAN (Jaiswal et al. 2018) applies capsule network in the discriminator of a GAN to improve the quality of generated samples and CapsPix2Pix (Bass et al. 2019) uses convolution capsules to synthesise  ... 
doi:10.1609/aaai.v34i07.6703 fatcat:7z5trmgxo5gpnlgyv7452gu3qe

Subspace Capsule Network [article]

Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah
2020 arXiv   pre-print
generative adversarial network (GAN) framework.  ...  We show that SCN is a general capsule network that can successfully be applied to both discriminative and generative models without incurring computational overhead compared to CNN during test time.  ...  Jun Wang for generously providing us access to the CASS GPU clus-ter supported in parts by the US Army/DURIP program W911NF-17-1-0208.  ... 
arXiv:2002.02924v1 fatcat:2mvqq4ntbnahxeuh3ae32l7v2q

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article]

Jing Han, Zixing Zhang, Bjorn Schuller
2019 IEEE Computational Intelligence Magazine  
As a potentially crucial technique for the development of the next generation of emotional AI systems, we herein provide a comprehensive overview of the application of adversarial training to affective  ...  o ver the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains.  ...  AEGAN based on autoencoders [71] , the C-RNN-GAN based on continuous recurrent neural networks [72] , the AttnGAN based on attention mechanisms [73] , and the CapsuleGAN based on capsule networks  ... 
doi:10.1109/mci.2019.2901088 fatcat:edkvfgy3ofgufcytngf5mktpae

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [article]

Jing Han, Zixing Zhang, Nicholas Cummins, Björn Schuller
2018 arXiv   pre-print
As a potentially crucial technique for the development of the next generation of emotional AI systems, we herein provide a comprehensive overview of the application of adversarial training to affective  ...  Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains.  ...  AEGAN based on autoencoders [71] , the C-RNN-GAN based on continuous recurrent neural networks [72] , the AttnGAN based on attention mechanisms [73] , and the CapsuleGAN based on capsule networks  ... 
arXiv:1809.08927v1 fatcat:m5mencegljgsphub3p62ltrhby

Bezier Curve Based Medicinal Leaf Classification using Capsule Network

Sandeep Dwarkanath Pande
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Nowadays, multiple leaf images are generated and stored online hence, classical classification systems are crucial.  ...  Next, CapsuleGAN architecture [20] is novel step in generative adversarial networks (GAN). Here GAN objective function is also updated [18] .  ...  Next architecture is Sparse Unsupervised Capsules from [17] . Supervised capsule networks have limitations in depth. Unsupervised capsule networks can be formed deeper layers.  ... 
doi:10.30534/ijatcse/2019/09862019 fatcat:bvfsfysd4bg2fhgz6lg3fdv7iq
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