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Multiview recognition has been well studied in the literature and achieves decent performance in object recognition and retrieval task. However, most previous works rely on supervised learning and some impractical underlying assumptions, such as the availability of all views in training and inference time. In this work, the problem of multiview self-supervised learning (MV-SSL) is investigated, where only image to object association is given. Given this setup, a novel surrogate task fordoi:10.1109/cvpr42600.2020.00911 dblp:conf/cvpr/HoLWV20 fatcat:y3xne5j6jrfehn7bmm56jqfp44