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08/17/2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
This paper studies the Binary Neural Networks (BNNs) in which weights an...
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06/07/2021
Error Loss Networks
A novel model called error loss network (ELN) is proposed to build an er...
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02/20/2021
GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
The key idea of the state-of-the-art VAE-based unsupervised representati...
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03/20/2020
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
Keypoint-based detectors have achieved pretty-well performance. However,...
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01/04/2020
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment
Semantic SLAM is an important field in autonomous driving and intelligen...
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11/21/2019
Asymmetric Correntropy for Robust Adaptive Filtering
In recent years, correntropy has been seccessfully applied to robust ada...
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05/24/2019
Multi-Kernel Correntropy for Robust Learning
As a novel similarity measure that is defined as the expectation of a ke...
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09/22/2018
Design Space Exploration of Neural Network Activation Function Circuits
The widespread application of artificial neural networks has prompted re...
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02/14/2018
Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links
Distributed estimation over networks draws much attraction in recent yea...
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02/08/2017