A training-free prompting method that adapts SAM to multi-class few-shot segmentation and reports higher mIoU than trained baselines on COCO-20i as the number of classes grows.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,
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Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
A training-free prompting method that adapts SAM to multi-class few-shot segmentation and reports higher mIoU than trained baselines on COCO-20i as the number of classes grows.