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Generative Adversarial Network

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TitleStatusHype
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network—0
Learning Foreground-Background Segmentation from Improved Layered GANs—0
Unsupervised Generative Adversarial Cross-modal Hashing—0
Unsupervised Histopathology Image Synthesis—0
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks—0
Unsupervised Noise adaptation using Data Simulation—0
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks—0
Unsupervised Single Image Deraining with Self-supervised Constraints—0
Unsupervised Spatiotemporal Data Inpainting—0
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition—0
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image—0
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network—0
CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation—0
Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces—0
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
Use of Generative Adversarial Network for Cross-Domain Change Detection—0
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation—0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis—0
Using a GAN to Generate Adversarial Examples to Facial Image Recognition—0
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features—0
Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals—0
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery—0
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition—0
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows—0
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