Implemented a teacher-student framework with simple CNNs in Keras for efficient remote sensing image classification. The lightweight student model outperformed the teacher in accuracy, leveraging distillation loss and nuclear norm regularization. Validated on diverse datasets like UC Merced, EuroSat, AID, and NWPU-RESISC45.
active 2024-11-21 → 2024-12-09 (UTC)
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