Two budget-aware batch active learning heuristics, greedy and dynamic thresholding, reduce the number of labeling rounds needed to reach target accuracy on new building image datasets compared with random selection.
A survey on active learning and human-in-the-loop deep learning for medical image analysis.Medical image analysis, 71:102062, 2021
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ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
Two budget-aware batch active learning heuristics, greedy and dynamic thresholding, reduce the number of labeling rounds needed to reach target accuracy on new building image datasets compared with random selection.