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Sparse updates in on-policy distillation can match full training performance, challenging conventional beliefs about parameter rewriting in deep learning.
BMCR dynamically optimizes backbone compositions, achieving up to 2.5 mAP points higher than traditional methods in remote sensing object detection.
