Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment

arXiv:2403.06674v1 Announce Type: new
Abstract: Most computer vision applications aim to identify pixels in a scene and use them for diverse purposes. One intriguing application is car damage detection for insurance carriers which tends to detect all car damages by comparing both pre-trip and post-trip images, even requiring two components: (i) car damage detection; (ii) image alignment. Firstly, we implemented a Mask R-CNN model to detect car damages on custom images. Whereas for the image alignment section, we especially propose …

abstract aim alignment application applications arxiv car components computer computer vision cs.ai cs.cv detection diverse identify image images insurance pixels them trip type vision