Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...
Abstract: Hyperspectral image classification is a fundamental task in remote sensing with broad applications in precision agriculture, environmental monitoring, and related fields. However, existing ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This repository contains a curated and enhanced version of brain ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. OIMHS dataset consists of 3859 B-scan images of 119 patients ...
1 Department of Software Engineering, University of Engineering and Technology-Taxila, Taxila, Pakistan 2 Information Systems Department, College of Computer and Information Sciences, Imam Mohammad ...
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