A pipeline combining SuperPoint, CLIPSeg, SAM, and a GCN achieves few-shot part segmentation on synthetic cranes and DAVIS 2017, but its reported numbers are undermined by test-set hyperparameter tuning.
Slic superpix- 8 els compared to state-of-the-art superpixel methods
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Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
A pipeline combining SuperPoint, CLIPSeg, SAM, and a GCN achieves few-shot part segmentation on synthetic cranes and DAVIS 2017, but its reported numbers are undermined by test-set hyperparameter tuning.