![]() ![]() All content is released by Pixabay under the Content License, which makes it safe to use without asking for permission or giving credit to the artist - even for certain commercial purposes. We feed the images with weakĪugmentation to the teacher model to guide the learning of the student model. Pixabay is a vibrant community of creatives, sharing royalty-free images, videos, audio and other media. ![]() Initialize another model as the new student model to avoid the errorĪccumulation caused by noisy pseudo-labels. Source model and target data are available. Problem: black-box source-free domain adaptation where only the outputs of the In this paper, we study the challenging but practical Still has a potential concern about leaking the source data, which reveals the Pre-trained source models and target data. ![]() Download a PDF of the paper titled Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation, by Shuai Wang and 4 other authors Download PDF Abstract: Source-free domain adaptation aims to adapt deep neural networks using only ![]()
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