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Image cropping aims at improving the framing of an image by removing its extraneous outer areas, which is widely used in the photography and printing industry. In some cases, the aspect ratio of cropping results is specified depending on some conditions. In this paper, we propose a meta-learning (learning to learn) based aspect ratio specified image cropping method called Mars, which can generate cropping results of different expected aspect ratios. In the proposed method, a base model and twodoi:10.1109/cvpr42600.2020.01270 dblp:conf/cvpr/LiZH20 fatcat:jworwmht45hehbueakfyggnwqi