Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation

Active learning aims to reduce the high labeling cost involved in training machine learning models on large datasets by efficiently labeling only the most informative samples. Recently, deep active learning has shown success on various tasks. However, the conventional evaluation schemes are either i...

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