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06/22/2023
3D Reconstruction of Spherical Images based on Incremental Structure from Motion
3D reconstruction plays an increasingly important role in modern photogr...
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04/19/2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks
Spiking neural networks (SNNs) have superb characteristics in sensory in...
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04/12/2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
Spiking neural networks (SNNs) are well known as the brain-inspired mode...
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02/09/2023
3D reconstruction of spherical images: A review of techniques, applications, and prospects
3D reconstruction plays an increasingly important role in modern photogr...
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05/02/2022
Enhancing Adversarial Training with Feature Separability
Deep Neural Network (DNN) are vulnerable to adversarial attacks. As a co...
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08/02/2021
Wood-leaf classification of tree point cloud based on intensity and geometrical information
Terrestrial laser scanning (TLS) can obtain tree point cloud with high p...
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07/28/2021
Imbalanced Adversarial Training with Reweighting
Adversarial training has been empirically proven to be one of the most e...
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07/12/2021
Trustworthy AI: A Computational Perspective
In the past few decades, artificial intelligence (AI) technology has exp...
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07/05/2021
Elastic Graph Neural Networks
While many existing graph neural networks (GNNs) have been proven to per...
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12/06/2020
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
Terrestrial laser scanning technology provides an efficient and accuracy...
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10/13/2020
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Adversarial training algorithms have been proven to be reliable to impro...
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09/02/2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Meta learning algorithms have been widely applied in many tasks for effi...
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05/13/2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust is a PyTorch adversarial learning library which aims to build...
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03/02/2020
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
Deep neural networks (DNNs) have achieved significant performance in var...
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01/30/2020