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

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 6 cited

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

Abdulrahman Kerim, Felipe Chamone, Washington Ramos +3

Recent semantic segmentation models perform well under standard weather conditions and sufficient illumination but struggle with adverse weather conditions and nighttime. Collectin…