In the realm of computer vision, outlier detection is the process of singling out data points or objects that deviate remarkably from the majority of data points within a specific dataset or image. These outliers can stem from diverse factors. For example, sensor noise might lead to abnormal data; errors during image acquisition or processing could also create outliers; moreover, the appearance of extraordinary objects in the scene is another potential cause.
