Abstract: Semantic segmentation of remote sensing imagery plays an important role in applications such as environmental monitoring and disaster response. However, challenges such as complex spatial ...
Abstract: To alleviate the expensive human labeling problem, semi-supervised semantic segmentation utilizes a few labeled images along with an abundance of unlabeled images to predict the pixel-level ...
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