Source-Free Domain Adaptation (SFDA) addresses the practical need to deploy machine learning models in novel environments without access to the original labelled source data. This paradigm emerges ...
Figure. The advantages of the DDSP framework: (a) Our strategy is to make the model domain-agnostic by exposing it to numerous diverse distributions while preserving semantic information in both ...
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
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