Abstract: Cloud detection plays a significant role in remote sensing (RS) image applications. Existing deep learning-based cloud detection methods rely on massive precise pixelwise annotations, which ...
Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...
A library of open datasets for data analytics/machine learning compiled by HackerNoon. The two most widely-used open-source machine learning frameworks for training and building deep learning models ...
Precise segmentation of Odontogenic Cystic Lesions (OCLs) from dental Cone-Beam Computed Tomography (CBCT) is critical for effective dental diagnosis. Although supervised learning methods have shown ...
Breeding programs depend on large-scale, accurate phenotyping, which is also critical for genomic dissection of complex traits. While the genome of an organism can be characterized, e.g., with high ...
This repository implements Semantic Instance Segmentation with a Discriminative Loss Function with some enhancements. In prediction phase, network inputs an image and outputs a semantic segmentation ...
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