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Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking

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0 Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2019.2956703

Abstract: Hyperparameters are numerical pre-sets whose values are assigned prior to the commencement of a learning process. Selecting appropriate hyperparameters is often critical for achieving satisfactory performance in many vision problems, such as deep learning-based visual… read more here.

Keywords: optimization via; hyperparameter optimization; dynamical hyperparameter; hyperparameter ... See more keywords