Engineering topics
Publications and source records attributed to Strube, Jan.
We apply semantic boosting to the Segment Anything Model (SAM) to obtain microstructure segmentation for transmission electron microscopy. Our booster, SAM-I-Am, extracts geometric and textural features of various intermediate masks to perform mask removal and mask merging operations
Our SuperSAM approach transforms the Segment Anything Model (SAM) into an `elastic' supernetwork, enabling the derivation of subnetworks with varying architectures tailored to a wide range of resource constraints.
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