IEEE

Scale Sensitive Neural Network for Road Segmentation in High-Resolution Remote Sensing Images

Abstract: Road segmentation in remote sensing images has been widely used in many fields. Semantic segmentation, based on deep learning, has become a hot topic for road segmentation. With the ...
IEEE

A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification

Abstract: Recently, hyperspectral image classification based on deep learning has achieved considerable attention. Many convolutional neural network classification methods have emerged and exhibited ...
GitHub

Fully Convolutional Network (Semantic Segmentation)

Demonstrates the implementation of a Fully Convolutional Network (FCN) for semantic segmentation using PyTorch. The notebook explains the complete workflow of semantic segmentation, including dataset ...
GitHub

Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation

The code is developed and tested using python 3.6 and 8 GeForce RTX 3090 GPUs. Other python versions or GPUs are not fully tested. It is recommended to symlink the ...