Back-dropout transfer learning for action recognition.

IET Computer Vision(2018)

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摘要
Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible. Transfer learning has demonstrated its powerful learning capabilities in various vision tasks. Despite transfer learning being a promising approach, it is still an open question how to adapt the model lear...
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关键词
learning (artificial intelligence),pattern classification
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