Clear2Fog generates realistic synthetic fog from clear scenes, enabling mixed-density training that outperforms full fixed-density data and improves real-world performance by 1.67 mAP after learning-rate adjustment.
Sparsity invariant CNNs,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
The paper identifies and analyzes an 'initial era' in scholarly communications where authors used initials instead of full names, examining its causes and implications for research culture.
citing papers explorer
-
A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline
Clear2Fog generates realistic synthetic fog from clear scenes, enabling mixed-density training that outperforms full fixed-density data and improves real-world performance by 1.67 mAP after learning-rate adjustment.
-
The Rise and Fall of the Initial Era
The paper identifies and analyzes an 'initial era' in scholarly communications where authors used initials instead of full names, examining its causes and implications for research culture.