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Meta Metric Learning For Highly Imbalanced Aerial Scene Classification

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IEEE ICASSP 2020 Virtual Conference May 2020

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 fine-tuning meta metric learning model (RF-MML) to address this problem. Derived f

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Meta Metric Learning For Highly Imbalanced Aerial Scene Classification

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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 fine-tuning meta metric learning model (RF-MML) to address this problem. Derived f