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03/18/2023
Stall Number Detection of Cow Teats Key Frames
In this paper, we present a small cow stall number dataset named CowStal...
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03/18/2023
Lung segmentation with NASNet-Large-Decoder Net
Lung cancer has emerged as a severe disease that threatens human life an...
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10/18/2022
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds
Audio denoising has been explored for decades using both traditional and...
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04/19/2022
House Price Prediction Based On Deep Learning
Since ancient times, what Chinese people have been pursuing is very simp...
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12/13/2021
A Survey of Unsupervised Domain Adaptation for Visual Recognition
While huge volumes of unlabeled data are generated and made available in...
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11/03/2021
Deep Least Squares Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptation leverages rich information from a labeled...
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06/22/2021
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
Transmission electron microscopy (TEM) is one of the primary tools to sh...
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06/22/2021
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation
Domain adaptation aims to mitigate the domain gap when transferring know...
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05/18/2021
Correlated Adversarial Joint Discrepancy Adaptation Network
Domain adaptation aims to mitigate the domain shift problem when transfe...
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05/05/2021
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
Unsupervised Domain adaptation is an effective method in addressing the ...
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04/27/2021
Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation
Domain adaptation (DA) mitigates the domain shift problem when transferr...
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03/10/2021
Adversarial Regression Learning for Bone Age Estimation
Estimation of bone age from hand radiographs is essential to determine s...
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09/19/2020
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Domain adaptation is one of the most crucial techniques to mitigate the ...
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02/06/2020
Impact of ImageNet Model Selection on Domain Adaptation
Deep neural networks are widely used in image classification problems. H...
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09/03/2019
Mixture Probabilistic Principal Geodesic Analysis
Dimensionality reduction on Riemannian manifolds is challenging due to t...
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09/03/2019
Mixture Probabilistic Principal GeodesicAnalysis
Dimensionality reduction on Riemannian manifolds is challenging due to t...
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04/23/2019
Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography
The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it ...
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04/04/2019
Modified Distribution Alignment for Domain Adaptation with Pre-trainedInception ResNet
Deep neural networks have been widely used in computer vision. There are...
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10/21/2018
Electricity consumption forecasting method based on MPSO-BP neural network model
This paper deals with the problem of the electricity consumption forecas...
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10/21/2018
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification
Background: Instagram, with millions of posts per day, can be used to in...
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10/21/2018
