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Showing 1 to 1 of 1 for “"Fine-tuning with domain shift, Inference without labels, Automatic benchmarking"”.
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Learning without Labels - Reducing Supervision in Training, Inference, and Evaluation of Deep Neural Networks
… In the training phase, we explore unsupervised fine-tuning, focusing on Source-Free Unsupervised Domain Adaptation scenarios in visual tasks such as Facial Expression Recognition and video-based Action Recognition, primarily leveraging self-supervision and self-training. At inference, we address …