Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing ...

Fine-grained ship detection in remote sensing images (RSIs) depends heavily on numerous training data with expensive manual annotations. Learning novel ship categories from very few labeled samples ...