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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
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
