The negative effect size indicates that filter bias leads to high inequality of relevance prediction. Both random selection and active learning significant decrease on the inequality.
Comparisons of the annotation accuracy rates for each category of the PASCAL VOC 2012 dataset based on different algorithms after 100 training iterations.
