SALF (Simple Active Learning Framework) is an algorithm model framework for active learning sampling and labeling of data, dedicated to providing a better basic framework and sampling evaluation mode for the field of active learning. The framework implements active learning interfaces for various deep learning tasks, including image classification, semantic segmentation, and image captioning. In order to facilitate performance experiments and performance comparisons in related research, this framework migrates some commonly used active learning algorithms to this framework. Additionally, for… |
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