Abstract: Classifying hyperspectral remote sensing images across different scenes has recently emerged as a significant challenge. When only historical labeled images (source domain, SD) are available ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. Contains fundus images and corresponding optic disc/cup ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. If you would like to train this Drishti-Glaucoma Segmentation ...
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 ...
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