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Found 3 papers, 0 papers with code
Cross-domain few-shot learning with unlabelled data
We come up with a self-supervised learning method to fully utilize the knowledge in the labeled training set and the unlabelled set.
Machine learning with limited data
In this paper, we study few shot image classification, in which we only have very few labeled data.
BIG-bench Machine Learning
cross-domain few-shot learning
+6
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
The ground-breaking performance obtained by deep convolutional neural networks (CNNs) for image processing tasks is inspiring research efforts attempting to extend it for 3D geometric tasks.
