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06/09/2023
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
On the one hand, the dehazing task is an illposedness problem, which mea...
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03/31/2023
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation
Online Social Network (OSN) has become a hotbed of fake news due to the ...
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03/30/2023
Adversarial Attack and Defense for Dehazing Networks
The research on single image dehazing task has been widely explored. How...
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01/13/2023
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends
Deep supervised learning algorithms generally require large numbers of l...
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01/08/2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Self-supervised learning enables networks to learn discriminative featur...
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12/03/2022
Fast Online Hashing with Multi-Label Projection
Hashing has been widely researched to solve the large-scale approximate ...
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11/28/2022
Good helper is around you: Attention-driven Masked Image Modeling
It has been witnessed that masked image modeling (MIM) has shown a huge ...
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11/16/2022
AlignVE: Visual Entailment Recognition Based on Alignment Relations
Visual entailment (VE) is to recognize whether the semantics of a hypoth...
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10/20/2021
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD...
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06/13/2021
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution
Recently, deep convolutional neural network methods have achieved an exc...
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06/13/2021
Feedback Pyramid Attention Networks for Single Image Super-Resolution
Recently, convolutional neural network (CNN) based image super-resolutio...
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06/07/2021
A Comprehensive Survey on Image Dehazing Based on Deep Learning
The presence of haze significantly reduces the quality of images. Resear...
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04/01/2021
Learning Rates for Multi-task Regularization Networks
Multi-task learning is an important trend of machine learning in facing ...
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03/22/2021
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
Normalization operations are essential for state-of-the-art neural netwo...
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04/02/2020
Randomized Kernel Multi-view Discriminant Analysis
In many artificial intelligence and computer vision systems, the same ob...
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01/20/2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Generative adversarial networks (GANs) are a hot research topic recently...
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12/01/2019
AntNet: Deep Answer Understanding Network for Natural Reverse QA
This study refers to a reverse question answering(reverse QA) procedure,...
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09/26/2019
Multi-grained Attention Networks for Single Image Super-Resolution
Deep Convolutional Neural Networks (CNN) have drawn great attention in i...
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04/08/2019
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification
The features used in many image analysis-based applications are frequent...
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04/07/2019
Fast Supervised Discrete Hashing
Learning-based hashing algorithms are "hot topics" because they can grea...
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04/07/2019