HG-Lane synthesizes 30,000 adverse-weather lane images without re-annotation and boosts CLRNet mF1 by 20.87% on the resulting benchmark across normal, snow, rain, fog, night, and dusk conditions.
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HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
HG-Lane synthesizes 30,000 adverse-weather lane images without re-annotation and boosts CLRNet mF1 by 20.87% on the resulting benchmark across normal, snow, rain, fog, night, and dusk conditions.