Training object detectors from few weakly-labeled and many unlabeled images

•A novel method to train detector by few weakly-labeled images and lots of unlabeled images.•The features extracted from the labeled images by a pretrained classifier are used to label unsupervised images.•The proposed approaches result in competitive performance with state-of-the-art weakly supervised object detectors.