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Found 2 papers, 1 papers with code
Target-aware Bi-Transformer for Few-shot Segmentation
Traditional semantic segmentation tasks require a large number of labels and are difficult to identify unlearned categories.
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
In this work, we revisit the prior mask guidance proposed in ``Prior Guided Feature Enrichment Network for Few-Shot Segmentation''.
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