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Meta Metric Learning For Highly Imbalanced Aerial Scene Classification
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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
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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