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.
Bouffard , author G
2 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 2representative citing papers
Simulations of outer core convection show diverse stable regions whose locations and properties depend on thermal and chemical Rayleigh numbers, persisting under heterogeneous CMB heat flux and potentially detectable seismically or geomagnetically.
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.
-
Thermochemical models of outer core convection with heterogeneous core-mantle boundary heat flux
Simulations of outer core convection show diverse stable regions whose locations and properties depend on thermal and chemical Rayleigh numbers, persisting under heterogeneous CMB heat flux and potentially detectable seismically or geomagnetically.