A diffusion-based inpainting method with hallucination filtering is proposed to augment the GOOSE dataset with snow surfaces, without any experiments showing it improves snow segmentation.
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency,
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Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics
A diffusion-based inpainting method with hallucination filtering is proposed to augment the GOOSE dataset with snow surfaces, without any experiments showing it improves snow segmentation.