2020
Meta Metric Learning for Highly Imbalanced Aerial Scene Classification
ICASSP 2020accepted
Class imbalance is an important factor that affects the performance of deep learning models used for remote sensing scene classification. In this paper, we propose a random finetuning meta metric learning model (RF-MML) to address this problem. Derived from episodic training in meta metric learning,…