no code implementations • CVPR 2021 • Arghya Pal, Raphael C.-W. Phan, KokSheik Wong
During training, the classifier iteratively uses these synthesized images as fake samples and re-estimates the class boundary in a recurrent fashion to improve both the classification accuracy and quality of synthetic images.
