2 papers
eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
cs.CC2024
Improved Lower Bounds for Approximating Parameterized Nearest Codeword and Related Problems under ETH
Shuangle Li, Bingkai Lin, Yuwei Liu
In this paper we present a new gap-creating randomized self-reduction for parameterized Maximum Likelihood Decoding problem over (-MLD). The reduction takes a…