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Found 6 papers, 4 papers with code
Hyperbolic Metric Learning for Visual Outlier Detection
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications.
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
In the realm of 3D-computer vision applications, point cloud few-shot learning plays a critical role.
Computational Efficiency
Few-Shot 3D Point Cloud Classification
+3
Dual-Domain Image Synthesis using Segmentation-Guided GAN
We build on the successes of few-shot StyleGAN and single-shot semantic segmentation to minimise the amount of training required in utilising two domains.
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Our experiments demonstrate that constraining the synchronization on the Riemannian manifold $SO(n)$ improves the estimation of the functional maps, while our RLFM sampler provides for the first time an uncertainty quantification of the results.
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images
In this paper we propose a technique to create and exploit an intermediate representation of images based on text attributes which are character probability maps.
Improving Text Proposals for Scene Images with Fully Convolutional Networks
Text Proposals have emerged as a class-dependent version of object proposals - efficient approaches to reduce the search space of possible text object locations in an image.
