no code implementations • 17 May 2023 • Omer Granoviter, Alexey Gruzdev, Vladimir Loginov, Max Kogan, Orly Zvitia
In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results.
no code implementations • 27 Mar 2023 • Eli Friedman, Assaf Lehr, Alexey Gruzdev, Vladimir Loginov, Max Kogan, Moran Rubin, Orly Zvitia
Our study highlights the importance of content diversity in synthetic datasets and challenges the notion that the photorealism gap is the most critical factor affecting the performance of computer vision models trained on synthetic data.
no code implementations • 31 May 2022 • Paul Yudkin, Eli Friedman, Orly Zvitia, Gil Elbaz
Over the past few years there has been major progress in the field of synthetic data generation using simulation based techniques.