3 citations · 11 across the 20 of their papers we have counts for
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cs.LG2023★ 3 cited
Damage GAN: A Generative Model for Imbalanced Data
Ali Anaissi, Yuanzhe Jia, Ali Braytee +2
This study delves into the application of Generative Adversarial Networks (GANs) within the context of imbalanced datasets. Our primary aim is to enhance the performance and stabil…
cs.CV2023★ 2 cited
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation
Kunal Chaturvedi, Ali Braytee, Jun Li +1
This paper proposes a novel self-supervised based Cut-and-Paste GAN to perform foreground object segmentation and generate realistic composite images without manual annotations. We…