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Found 3 papers, 1 papers with code
Few-Shot Classification with Contrastive Learning
In the meta-training stage, we propose a cross-view episodic training mechanism to perform the nearest centroid classification on two different views of the same episode and adopt a distance-scaled contrastive loss based on them.
DONet: Dual-Octave Network for Fast MR Image Reconstruction
In this paper, we propose the Dual-Octave Network (DONet), which is capable of learning multi-scale spatial-frequency features from both the real and imaginary components of MR data, for fast parallel MR image reconstruction.
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
We evaluate the performance of the proposed model on the acceleration of multi-coil MR image reconstruction.
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