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SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance
SLICK is a novel framework for precise and robust car damage segmentation that leverages structural priors and domain knowledge. It achieves surgical accuracy in segmenting vehicle parts and enhancing fine-grained damage detection for automotive insurance and inspection workflows.