A Reinforcement One Shot Active Learning Approach For Aircraft Type Recognition
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A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition
Author | : HONGLAN HUANG |
Publisher | : Infinite Study |
Total Pages | : 11 |
Release | : |
Genre | : Mathematics |
ISBN | : |
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Target recognition is an important aspect of air trafc management, but the study on automatic aircraft identication is still in the exploratory stage. Rapid aircraft processing and accurate aircraft type recognition remain challenging tasks due to the high-speed movement of the aircraft against complex backgrounds. Active learning, as a promising research topic of machine learning in recent decades, can use less labeled data to obtain the same model accuracy as supervised learning, which greatly reduces the cost of labeling a dataset.
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