Large-scale multi-label classification using unknown streaming images.

•We proposed to learn the problem of multi-label classification from streaming images with unknown classes in a unified deep learning framework.•We proposed to learn a recurrent novel-class detector for novel-class detection, which naturally encodes the relationship in image features and labels.•The proposed method is systematically evaluated on large-scale benchmark datasets, which shows its efficacy for practical deployment.