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The ability to detect and classify rare occurrences in images has important applications - for example, counting rare and endangered species when studying biodiversity, or detecting infrequent traffic scenarios that pose a danger to self-driving cars.
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A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
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Dermatologist-level classification of skin cancer with deep neural networks
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Openimages: A public dataset for large-scale multi-label and multi-class image classification
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Deep photo style transfer
F. Luan, S. Paris, E. Shechtman, and K. Bala · 2017
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Unsupervised domain adaptation for semantic segmentation via class-balanced self-training
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