Visual Representation Learning with Progressive Data Scarcity.
One of the key advantages of supervised deep learning over conventional machine learning is that the learning process of a neural network does not rely directly on hand-crafted features. There is no denying that the availability of large-scale annotated data plays a vital role in the success of deep learning, among many other others. On the other hand, given the capacity of deep neural networks, modern deep learning system is able to approximate complex functions and fit complex...[Show more]
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