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Found 3 papers, 1 papers with code
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation
To enable rapid adaptation of the best segmentation technology, we propose the concept of semantic boosting: given a zero-shot foundation model, guide its segmentation and adjust results to match domain expectations.
Im2win: An Efficient Convolution Paradigm on GPU
Convolution is the most time-consuming operation in deep neural network operations, so its performance is critical to the overall performance of the neural network.
Indoor Frame Recovery from Refined Line Segments
First, the line segments are refined by four consecutive operations, i. e., reclassifying, connecting, fitting, and voting.
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