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04/02/2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Low-count PET is an efficient way to reduce radiation exposure and acqui...
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02/28/2023
Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English
Considering the bimodal nature of human speech perception, lips, and tee...
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02/07/2023
Disentangled Causal Embedding With Contrastive Learning For Recommender System
Recommender systems usually rely on observed user interaction data to bu...
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02/27/2022
A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images
The very high spatial resolution (VHR) remote sensing images have been a...
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02/22/2022
KuaiRec: A Fully-observed Dataset for Recommender Systems
Recommender systems are usually developed and evaluated on the historica...
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02/16/2021
A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images
Change detection (CD) in remote sensing images has been an ever-expandin...
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08/05/2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
To have a better understanding and usage of Convolution Neural Networks ...
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09/24/2019
s-LWSR: Super Lightweight Super-Resolution Network
Deep learning (DL) architectures for superresolution (SR) normally conta...
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07/23/2019
Position Focused Attention Network for Image-Text Matching
Image-text matching tasks have recently attracted a lot of attention in ...
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08/29/2018
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification
This paper presents a tensor alignment (TA) based domain adaptation meth...
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08/29/2018
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
This paper introduces a novel heterogenous domain adaptation (HDA) metho...
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01/08/2018
