Search Results for author: Milad Jalali Asadabadi

Found 2 papers, 1 papers with code

Pre-trained Perceptual Features Improve Differentially Private Image Generation

1 code implementation • 25 May 2022 • Fredrik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park

Training even moderately-sized generative models with differentially-private stochastic gradient descent (DP-SGD) is difficult: the required level of noise for reasonable levels of privacy is simply too large.

Image Generation Transfer Learning

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One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model

no code implementations • 2 May 2022 • Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland

Semi-weakly supervised semantic segmentation (SWSSS) aims to train a model to identify objects in images based on a small number of images with pixel-level labels, and many more images with only image-level labels.

Pseudo Label Segmentation +2

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