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Found 5 papers, 2 papers with code
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
By using solely a single template image, our method demonstrates significant superiority over strong state-of-the-art one-shot landmark detection methods.
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
To harness the power of foundation models for application in SSL, we propose a cross prompting consistency method with segment anything model (CPC-SAM) for semi-supervised medical image segmentation.
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets
Bayesian optimization (BO) is widely adopted in black-box optimization problems and it relies on a surrogate model to approximate the black-box response function.
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
This performance relies heavily on the configuration of the network parameters.
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
We evaluate the effectiveness of our algorithm based on a simulator built by real traces.
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