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Progressively Unfreezing Perceptual GAN
Generative adversarial networks (GANs) are widely used in image generati...
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SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data
Mesoscale eddies play a significant role in marine energy transport, mar...
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Weak Edge Identification Nets for Ocean Front Detection
The ocean front has an important impact in many areas, it is meaningful ...
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Student's t-Generative Adversarial Networks
Generative Adversarial Networks (GANs) have a great performance in image...
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Structure Learning of Deep Neural Networks with Q-Learning
Recently, with convolutional neural networks gaining significant achieve...
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Recurrent Attention Unit
Recurrent Neural Network (RNN) has been successfully applied in many seq...
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Long Short-Term Attention
In order to learn effective features from temporal sequences, the long s...
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Structure Learning of Deep Networks via DNA Computing Algorithm
Convolutional Neural Network (CNN) has gained state-of-the-art results i...
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Generative Adversarial Networks with Decoder-Encoder Output Noise
In recent years, research on image generation methods has been developin...
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Prediction of Sea Surface Temperature using Long Short-Term Memory
This letter adopts long short-term memory(LSTM) to predict sea surface t...
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Perception Driven Texture Generation
This paper investigates a novel task of generating texture images from p...
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Banzhaf Random Forests
Random forests are a type of ensemble method which makes predictions by ...
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A Deep Hashing Learning Network
Hashing-based methods seek compact and efficient binary codes that prese...
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A PCA-Based Convolutional Network
In this paper, we propose a novel unsupervised deep learning model, call...
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