2 papers
cs.LG2024
Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
Abdulrahman Kerim, Leandro Soriano Marcolino, Erickson R. Nascimento +1
Supervised machine learning methods require large-scale training datasets to perform well in practice. Synthetic data has been showing great progress recently and has been used as…
cs.CV2022
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions
Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino +2
Video stabilization plays a central role to improve videos quality. However, despite the substantial progress made by these methods, they were, mainly, tested under standard weathe…