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

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
Hacker

20 Best PyTorch Datasets for Building Deep Learning Models

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 ...
IEEE

Electrical Thermal Image Semantic Segmentation: Large-Scale Dataset and Baseline

Abstract: The fault diagnosis of electrical equipment plays a vital role in the safe operation of the power system. The task of electrical thermal image semantic segmentation is to segment all ...
Frontiers

Medical Image Segmentation Algorithm for Three-Dimensional Multimodal Using Deep Reinforcement Learning and Big Data Analytics

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...