most citedSemantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

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…