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: Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment ...
This is the first experiment of Image Segmentation for Endoscopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...
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 ...
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