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Found 6 papers, 1 papers with code
Quantile Activation: departing from single point estimation for better generalization across distortions
We argue in this article that one has to move away from this basic tenet to obtain generalisation across distributions.
A Novel Approach to Regularising 1NN classifier for Improved Generalization
In this paper, we propose a class of non-parametric classifiers, that learn arbitrary boundaries and generalize well.
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images
In this article, we develop a robust pipeline based on mathematical morphological (MM) operators that can seamlessly extend any existing semantic segmentation algorithm to high resolution images.
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification
In this article, we estimate the edge-weights explicitly and use them for the downstream classification tasks - both semi-supervised and unsupervised.
A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs
One of the useful geophysical features of a river sub-basin is that of a roughness measure on DEMs.
Triplet-Watershed for Hyperspectral Image Classification
In this article, we propose to use a watershed classifier.
