Constrained Deep Transfer Feature Learning and its Applications

CVPR 2016 Yue WuQiang Ji

Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typically requires a large amount of training data, which may not be feasible for some application domains... (read more)

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