4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Face Recognition Using Synthetic Face Data
Omer Granoviter, Alexey Gruzdev, Vladimir Loginov +2
In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results. However, amassing signif…
cs.CV2023★ 2 cited
Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing
Eli Friedman, Assaf Lehr, Alexey Gruzdev +4
The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-…
cs.CV2021★ 4 cited
Why You Should Try the Real Data for the Scene Text Recognition
Vladimir Loginov
Recent works in the text recognition area have pushed forward the recognition results to the new horizons. But for a long time a lack of large human-labeled natural text recognitio…