A residual adapter called DFN plus singular-value sharpness regularization improves cross-domain few-shot segmentation by 2.69% and 4.68% MIoU over prior state-of-the-art in 1-shot and 5-shot settings.
Prototype mixture models for few-shot semantic segmentation
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Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
A residual adapter called DFN plus singular-value sharpness regularization improves cross-domain few-shot segmentation by 2.69% and 4.68% MIoU over prior state-of-the-art in 1-shot and 5-shot settings.