Adaptive meta-knowledge transfer network for few-shot object detection in very high resolution remote sensing images
Abstract: Highlights•SFJE model enhances features by fusing spatial and frequency information.•Adaptive Reweighting loss helps to transfer meta-level knowledge of novel class.•Sim-Meta loss boosts discriminability enhancement of similar classes.
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