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03/22/2022
Channel Self-Supervision for Online Knowledge Distillation
Recently, researchers have shown an increased interest in the online kno...
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12/02/2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
Image resolution that has close relations with accuracy and computationa...
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07/18/2021
Feature Mining: A Novel Training Strategy for Convolutional Neural Network
In this paper, we propose a novel training strategy for convolutional ne...
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06/12/2021
Go Small and Similar: A Simple Output Decay Brings Better Performance
Regularization and data augmentation methods have been widely used and b...
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06/09/2021
Self-supervision of Feature Transformation for Further Improving Supervised Learning
Self-supervised learning, which benefits from automatically constructing...
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06/09/2021
Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning
Traditional self-supervised learning requires CNNs using external pretex...
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06/08/2021
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
The promising performances of CNNs often overshadow the need to examine ...
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03/29/2021
FocusedDropout for Convolutional Neural Network
In convolutional neural network (CNN), dropout cannot work well because ...
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03/29/2021
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions
In this paper, we propose Selective Output Smoothing Regularization, a n...
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03/09/2021
Thumbnail: A Novel Data Augmentation for Convolutional Neural Network
In this paper, we propose a new data augmentation strategy named Thumbna...
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09/04/2019
Topological Coding and Topological Matrices Toward Network Overall Security
A mathematical topology with matrix is a natural representation of a cod...
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07/11/2019
Using Chinese Characters To Generate Text-Based Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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09/13/2018