Abstract: Recent aerial object detection models rely on a large amount of labeled training data, which requires unaffordable manual labeling costs in large aerial scenes with dense objects. Active ...
Abstract: Currently, many methods in the field of Semi-Supervised Learning (SSL) assume that the datasets are balanced, but imbalanced datasets are very common in real scenarios. To solve the ...
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