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 ...
This repo provides no trainer version of Hugging Face SegFormer model in PyTorch framework. The dataset is built with Segments.ai and released to Hugging Face. train_hf.py provides Trainer version for ...
Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...
Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Suzanne is a content marketer, writer, and ...
Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
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