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GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data
Extracting valuable information from a large corpus of unstructured data poses a formidable challenge in many applications. Transformer-based...
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Swin-GAN: generative adversarial network based on shifted windows transformer architecture for image generation
It is well known that every successful generative adversarial network (GAN) relies on the convolutional neural networks (CNN)-based generators and...
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Resource orchestration in network slicing using GAN-based distributional deep Q-network for industrial applications
The Industrial Internet of Things (IIoT) is an emerging and promising concept that allows intelligent manufacturing through the connectivity of 5G/6G...
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Wasserstein Proximal of GANs
We introduce a new method for training generative adversarial networks by applying the Wasserstein-2 metric proximal on the generators. The approach...
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A Novel Transfer Learning Method for Robot Bearing Fault Diagnosis Based on Deep Convolutional Residual Wasserstein Adversarial Network
In the process of robot bearing fault diagnosis based on data-driven, transfer learning is an effective method to solve the lack of labeled data, and...
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Fake Image Dataset Generation of Sign Language Using GAN
The massive boost in the technology industry proves as a boon for data science researchers. In the past few decades, new emerging advancements in the...
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Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning
Generative Adversarial Networks (GANs) have gained significant attention in several computer vision tasks for generating high-quality synthetic data....
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CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation...
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DD-GAN: pedestrian image inpainting with simultaneous tone correction
Accompanied by the rapid popularization of camera surveillance devices, tremendous pedestrian images can be acquired. Since a huge part of...
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Weak Segmentation-Guided GAN for Realistic Color Edition
Editing the color of images in a realistic way finds many applications such as changing the perception of an image, data augmentation or film post...
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Semi-supervised GAN with similarity constraint for mode diversity
Mode collapse is a very common issue in Generative Adversarial Networks. To alleviate the mode collapse, we introduce a novel semi-supervised...
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GAN-enable latent fingerprint enhancement model for human identification system
There is a growing demand for a human identification system to solve different societal crimes and issues from available shreds of evidence. This...
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An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods
At the beginning of 2020, the COVID-19 pandemic caused a sharp decline in equity market indices, which remained stagnant for a considerable period....
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Fake Malware Generation Using HMM and GAN
In the past decade, the number of malware attacks have grown considerably and, more importantly, evolved. Many researchers have successfully...
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A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
Imbalanced image datasets are commonly available in the domain of biomedical image analysis. Biomedical images contain diversified features that are...
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GAN-based image steganography for enhancing security via adversarial attack and pixel-wise deep fusion
In recent years, the development of steganalysis based on convolutional neural networks (CNN) has brought new challenges to the security of image...
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TCGFusion: a network for PET-MRI fusion based on GAN and transformer
Modern clinical diagnosis relies heavily on medical imaging. Unimodal images contain limited information, whereas image fusion techniques can combine...
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EEG Generation of Virtual Channels Using an Improved Wasserstein Generative Adversarial Networks
Aiming at enhancing classification performance and improving user experience of a brain-computer interface (BCI) system, this paper proposes an...
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Unsupervised Image Translation with GAN Prior
Unsupervised image translation aims to learn the translation between two domains without paired data. Although impressive progress has been made in...
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Visually evoked brain signals guided image regeneration using GAN variants
Generative Adversarial Networks have recently proven to be very effective in generative applications involving images, and they are now being used to...
