Check out PDF Summary:On this paper, we delve into semi-supervised item detection where unlabeled visuals are leveraged to break through the upper bound of thoroughly-supervised object detection models. Former semi-supervised strategies depending on pseudo labels are severely degenerated by noise and liable to overfit to noisy labels, thus are defi