IEEE

A Novel Weighted Ensemble Transferred U-Net Based Model (WETUM) for Postearthquake Building Damage Assessment From UAV Data: A Comparison of Deep Learning- and Machine Learning ...

Abstract: Nowadays, unmanned aerial vehicle (UAV) remote sensing (RS) data are key operational sources used to produce a reliable building damage map (BDM), which is of great importance in instant ...
IEEE

MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based Methods

Abstract: Medical image segmentation is a challenging and popular task in the field of medical image processing in recent decades. Most of the current mainstream segmentation networks are based on ...
GitHub

U-Net: Semantic segmentation with PyTorch

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 ...
GitHub

eminsafa/pytorch-cuda-compatibility

1.13.0 3.7+ 11.6, 11.7 0.13.0 0.14.0 1.12.1 3.7+ 10.2, 11.3, 11.6 0.12.1 0.13.1 1.12.0 3.7+ 10.2, 11.3, 11.6 0.12.0 0.13.0 1.11.0 3.6+ 10.2, 11.3 0.11.0 0.12.0 1.10.1 ...