A crop-based similarity metric called OSS predicts which active-learning strategies will work for object detection and picks stable validation subsets before expensive training runs.
Single-model uncertainties for deep learning,
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Streamlining the Development of Active Learning Methods in Real-World Object Detection
A crop-based similarity metric called OSS predicts which active-learning strategies will work for object detection and picks stable validation subsets before expensive training runs.