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Multi-level Similarity Learning for Low-Shot Recognition
Low-shot learning indicates the ability to recognize unseen objects base...
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Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Autonomous underwater vehicle (AUV) plays an increasingly important role...
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Recurrent Attention Unit
Recurrent Neural Network (RNN) has been successfully applied in many seq...
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Few-shot Learning for Domain-specfic Fine-grained Image Classfication
Learning to recognize novel visual categories from a few examples is a c...
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Highlight Every Step: Knowledge Distillation via Collaborative Teaching
High storage and computational costs obstruct deep neural networks to be...
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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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Photo-to-Caricature Translation on Faces in the Wild
Recently, image-to-image translation has been made much progress owing t...
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Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Image-to-image translation has been made much progress with embracing Ge...
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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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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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Panoptic Studio: A Massively Multiview System for Social Interaction Capture
We present an approach to capture the 3D motion of a group of people eng...
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Banzhaf Random Forests
Random forests are a type of ensemble method which makes predictions by ...
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Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Semantic layouts based Image synthesizing, which has benefited from the ...
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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 Neural Networks with Q-Learning
Recently, with convolutional neural networks gaining significant achieve...
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Student's t-Generative Adversarial Networks
Generative Adversarial Networks (GANs) have a great performance in image...
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Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning
Providing reinforcement learning agents with informationally rich human ...
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Sound source ranging using a feed-forward neural network with fitting-based early stopping
When a feed-forward neural network (FNN) is trained for source ranging i...
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Improving Interactive Reinforcement Agent Planning with Human Demonstration
TAMER has proven to be a powerful interactive reinforcement learning met...
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Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Local differential privacy (LDP) is a recently proposed privacy standard...
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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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Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework
Interactive reinforcement learning provides a way for agents to learn to...
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Population Monotonic Allocation Schemes for Vertex Cover Games
For the class of vertex cover games (introduced by Deng et al., Math. Op...
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Progressively Unfreezing Perceptual GAN
Generative adversarial networks (GANs) are widely used in image generati...
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