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Showing 1 to 1 of 1 for “"domain adaptation, domain-shift, image classification, neural networks"”.
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Learning to Adapt Neural Networks Across Visual Domains
… is the lack of generalizability of learnt classification functions when subjected to new samples that are not representative of the training distribution. The discrepancy between the training (a.k.a. source) and test (a.k.a.target) distributions are caused by several latent factors such as …