IEEE

From Patch to Graph: Dual Graph Transformer Network for Few-Shot Metal Surface Defect Semantic Segmentation

Abstract: Recently few-shot segmentation (FSS) of metal surface defects has been extensively developed. Most previous methods strive to achieve generalization through the pixel-based prototypes ...
IEEE

Enhanced Integration of Graph Neural Networks for Customer Segmentation in Collaborative Interfaces within Immersive Virtual Reality Settings

Abstract: This exploratory research aims to investigate how Graph Neural Networks (GNNs) function in immersive virtual reality (VR) environments for client segmentation, with a focus on cooperative ...
GitHub

jreo/PersonMask_TFLite-v2

The goal of the project is to inference a deep learning semantic segmentation model on a webcam video stream in Linux in order to remove background and provide a clean video stream with a person only.
GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.