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Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization
Machine learning models and neural networks in particular can be used in the field of image processing. Machine learning models are trained to better improve their output quality. During training, domain generalization is the problem of making accurate predictions on previously unseen domains, especially when these domains are very different from...
Published: 2/12/2024   |   Inventor(s): Tejas Gokhale, Rushil Anirudh, Jayaraman Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
Keywords(s): Algorithm Development, Imaging, Machine Learning, Neural Computing, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science