ALBench: A Framework for Evaluating Active Learning in Object Detection. (arXiv:2207.13339v2 [cs.CV] UPDATED)

Active learning is an important technology for automated machine learning
systems. In contrast to Neural Architecture Search (NAS) which aims at
automating neural network architecture design, active learning aims at
automating training data selection. It is especially critical for training a
long-tailed task, in which positive samples are sparsely distributed. Active
learning alleviates the expensive data annotation issue through incrementally
training models powered with efficient data selection. Instead of annotating
all unlabeled samples, it iteratively selects and annotates the most …

active learning arxiv cv detection framework learning