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Found 2 papers, 1 papers with code
Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
Transferring the weights of a pre-trained model to assist another task has become a crucial part of modern deep learning, particularly in data-scarce scenarios.
An Efficient Method for the Classification of Croplands in Scarce-Label Regions
We improved the model by about 24% compared to a baseline architecture without any labeled sample in the target domain.
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