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09/15/2023
One-stage Modality Distillation for Incomplete Multimodal Learning
Learning based on multimodal data has attracted increasing interest rece...
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08/31/2023
RGB-T Tracking via Multi-Modal Mutual Prompt Learning
Object tracking based on the fusion of visible and thermal im-ages, know...
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07/05/2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
Adaptive gradient methods, such as Adam and LAMB, have demonstrated exce...
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04/17/2023
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning
Multimodal learning has shown great potentials in numerous scenes and at...
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04/09/2023
RGB-T Tracking Based on Mixed Attention
RGB-T tracking involves the use of images from both visible and thermal ...
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08/02/2022
Binary Classification with Positive Labeling Sources
To create a large amount of training labels for machine learning models ...
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03/31/2022
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Self-supervised learning (SSL) has drawn increasing attention in patholo...
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10/15/2021
Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions
In this paper, we develop a new type of accelerated algorithms to solve ...
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10/11/2021
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Automatic modulation recognition (AMR) is a promising technology for int...
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03/23/2019
PML: An Interpreter-Based Access Control Policy Language for Web Services
Access control is an important component for web services such as a clou...
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03/19/2019
BotGraph: Web Bot Detection Based on Sitemap
The web bots have been blamed for consuming large amount of Internet tra...
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11/19/2018
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
In recent years, three-dimensional convolutional neural network (3D CNN)...
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12/06/2017