View PDF Abstract:In this paper, we delve into semi-supervised item detection where by unlabeled visuals are leveraged to break through the higher bound of thoroughly-supervised object detection models. Past semi-supervised procedures determined by pseudo labels are severely degenerated by sounds and at risk of overfit to noisy labels, As a result