IMPROVED GENERATIVE ADVERSARIAL NETWORK (GAN) ARCHITECTURE FOR INTELLIGENT DOWNSTREAM RADIOLOGY TASK

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IMPROVED GENERATIVE ADVERSARIAL NETWORK (GAN) ARCHITECTURE FOR INTELLIGENT DOWNSTREAM RADIOLOGY TASK

Poster presented at the Deep Learning Indaba 2023 by Matthew Cobbinah

3D Image Generation Using Generative Adversarial Network for Virtual Art Gallery

Gallery art websites are often used to display artistic work for user accessibility. The conventiona

A GENERATIVE ADVERSARIAL NETWORK BASED FEW-SHOT FONT STYLE TRANSFER FOR ETHIOPIC(GE'EZ) SCRIPTS

A GENERATIVE ADVERSARIAL NETWORK BASED FEW-SHOT FONT STYLE TRANSFER FOR ETHIOPIC(GE’EZ) SCRIPTS

Manifold Characteristics That Predict Downstream Task Performance

Manifold Characteristics That Predict Downstream Task Performance

Poster presented at the Deep Learning Indaba 2022 by Ruan van der Merwe

DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis

Recent work has shown significant progress in the direction of synthetic data generation using Gener

LEXSYS: Architecture and Implication for Intelligent Agent systems

LEXSYS, (Legume Expert System) was a project conceived at IITA (International Institute of Tropical

Multilingual Intermediate-Task Training for Cross-Lingual Adversarial Robustness

Pre-trained multilingual language encoders, such as multilingual BERT and XLM-R, show great potentia

IMPROVED GENERATIVE ADVERSARIAL NETWORK (GAN) ARCHITECTURE FOR INTELLIGENT DOWNSTREAM RADIOLOGY TASK

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