Contrastive-SDXL augments daytime images into realistic night-time versions using SDXL-Turbo with LoRA and multi-level DINOv2 contrastive losses, yielding 6-7% lower miss rate on pedestrian detection versus daytime-only training.
Nightowls: A pedestrians at night dataset,
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Contrastive-SDXL: Annotation-Preserving Night-Time Augmentation for Pedestrian Detection
Contrastive-SDXL augments daytime images into realistic night-time versions using SDXL-Turbo with LoRA and multi-level DINOv2 contrastive losses, yielding 6-7% lower miss rate on pedestrian detection versus daytime-only training.