[PDF] Top 20 Age Estimation Method Based on Generative Adversarial Networks
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Age Estimation Method Based on Generative Adversarial Networks
... of age groups, accurate age prediction can greatly increase the difficulty of ...Since age estimation is very complex, a network model which has a strong expressive ability and classification ... See full document
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Proposed Improvements For Automated Chemical Safety Evaluations Using In-Silico Techniques
... Computing provides researchers with attempts to virtualise biochemical interactions at a pace and volume that outperforms traditional in vitro or in vivo methods. Such technological advancements have made in-silico ... See full document
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A Study of Generative Adversarial Networks in 3D Modelling
... The adversarial modeling is a framework for generating objects, which has a deep impact on the development of generation ...uses adversarial process estimation for generating ...the generative ... See full document
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Generative Adversarial Networks for Text Using Word2vec Intermediaries
... an adversarial ranker and minimizes pair-wise ranking loss to get better con- vergence, however, is more expensive than other methods due to the extra sampling from the orig- inal ...word based on its ... See full document
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Compression artifacts reduction by improved generative adversarial networks
... proposed method, we compare ARGAN with three methods: SA-DCT [9], which is widely considered as the state-of-the-art deblocking-oriented algorithm; ARCNN [10], an efficient deep learning-based method ... See full document
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AlphaGAN: Generative adversarial networks for natural image matting
... Recently, a few deep learning methods were introduced for natural image matting. Specifi- cally, Xu et al. [33] proposed a two-stage network, consisting of an encoder-decoder stage and a refinement stage. The first stage ... See full document
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Audio Enhancement and Synthesis using Generative Adversarial Networks: A Survey
... The complexity of music has made it difficult to model and synthesize without human supervision. Musical pieces not only contain coherent hierarchical structures but multiple instrument that flow together. Music is ... See full document
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Research on Image Translation and Image Quality Evaluation Based on Generative Adversarial Networks
... Abstract. How to correctly evaluate the quality of image translation is an important research topic. In this paper, the effects of the hyperparameters and algorithm optimization methods of Pix2Pix model on image ... See full document
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Latent Code and Text based Generative Adversarial Networks for Soft text Generation
... codes based on discrete inputs with a WGAN objective to learn an implicit probabilistic model over these ...ARAE method was also introduced in (Spinks and Moens, ... See full document
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A Comparative Assessment of the Impact of Various Norms on Wasserstein Generative Adversarial Networks
... there is no response variable y given. Therefore, to make some sense out in this setting we need to find the relationship between the observations. One of the ways is cluster analysis. Here we try to group the input ... See full document
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RETRACTED: Realization of Virtual Human Face Based on Deep Convolutional Generative Adversarial Networks
... DOI: 10.4236/jsip.2018.93013 224 Journal of Signal and Information Processing In this paper, the experiment activation function uses the sigmoid function to calculate the loss value generated during the training process ... See full document
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Neuroevolutionary Training of Deep Convolutional Generative Adversarial Networks
... AutoML based techniques have made a significant impact in searching the different types of backbone architecture for deep neural networks ...algorithm based neuroevolutionary training of ... See full document
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Enhancing neural non-intrusive load monitoring with generative adversarial networks
... a Generative Adversarial Network to mitigate the described ...with Generative Adversarial Networks show the potential of the approach, albeit there is no strong evidence yet that this ... See full document
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A Sensor Image Super-Resolution via Advanced Generative Adversarial Network
... neural networks (CNNs) based methods ...This method, termed Super-Resolution Convolutional Neural Network (SRCNN), provides compelling quality and outperforms traditional non deep-learning ... See full document
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A Survey on Generative Adversarial Networks (GANs)
... 2. Although early examples of in silico trials have been presented, the use of this form of investigation is not rampant yet, due to the major technical challenges involved. First, methods to simulate numerically the ... See full document
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Beyond Local Nash Equilibria for Adversarial Networks
... finite Generative Adversarial Net- work Games (GANGs) formulate adversarial networks as finite zero-sum games, and the solutions that we try to find are saddle points in mixed ... See full document
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ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
... of generative models, VAE, has the additional advantage of having an inference network, the encoder, which is jointly learnt during ...rectional Generative Adversarial Networks (BiGAN) ... See full document
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Improved Wasserstein conditional generative adversarial network speech enhancement
... systems based on the spectrum analysis framework [11–15], GAN and the variant algorithm of GAN work end-to-end with the raw speech data without hand-crafted features extracted and as- sumptions about the raw data ... See full document
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auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
... Our implementation of sequence to sequence autoencoders extends the RNN encoder- decoder model proposed by Sutskever et al. (2014). The input sequence is fed to a multi- layered encoder RNN which collects key information ... See full document
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Generative adversarial networks for augmenting training data of microscopic cell images
... from networks trained with 2D timeseries cell images has significant advantages: 2D timeseries are usually fairly easy to segment by automated tools as cells are well-separated from background and much easier to ... See full document
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