Abstract: Current sparsely-supervised object detection methods largely depend on high threshold settings to derive high-quality pseudo labels from detector predictions. However, hard instances within ...
Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSIs) has attracted a lot of attention because it solely employs image-level labels to drive the model training. Most of ...
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