Abstract: Self-training is a novel learning paradigm that generates pseudolabels for unlabeled data, enabling deep learning models to be trained without the need for humanlabeled data. This article ...
When formulating assertions, JUnit quickly reaches its limits. The AssertJ and Google Truth libraries offer new possibilities ...
Neue Klasse is BMW’s name for its new design language, but it also refers to reimagined cabin design and information layout, ...
Abstract: In practical applications, object detection models often encounter new classes of interest after initial training. Traditional approaches require retraining from scratch using both existing ...
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