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Found 3 papers, 1 papers with code
Spherical Feature Pyramid Networks For Semantic Segmentation
Semantic segmentation for spherical data is a challenging problem in machine learning since conventional planar approaches require projecting the spherical image to the Euclidean plane.
Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods
Detecting latent structure within a dataset is a crucial step in performing analysis of a dataset.
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices
Convolutional Neural Networks, or CNNs, are the state of the art for image classification, but typically come at the cost of a large memory footprint.
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