Image Outlier Detection Without Training using RANSAC

arXiv:2307.12301v3 Announce Type: replace-cross
Abstract: Image outlier detection (OD) is an essential tool to ensure the quality of images used in computer vision tasks. Existing algorithms often involve training a model to represent the inlier distribution, and outliers are determined by some deviation measure. Although existing methods proved effective when trained on strictly inlier samples, their performance remains questionable when undesired outliers are included during training. As a result of this limitation, it is necessary to carefully examine the data …

abstract algorithms arxiv computer computer vision cs.cv cs.ir cs.lg detection deviation distribution image images outlier outliers quality tasks tool training type vision