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Weakly Supervised Object Detection for Remote Sensing Images via Progressive Image-Level and Instance-Level Feature Refinement

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Weakly supervised object detection (WSOD) aims to predict a set of bounding boxes and corresponding category labels for instances with only image-level supervisions. Compared with fully supervised object detection. WSOD in remote sensing images (RSIs) is much more challenging due to the vast foreground-related context regions. In this paper. https://fitnessgravesyardes.shop/product-category/network-signal-extend-wire/
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