Dr Scarlett Raine
sgraine
Chief Investigator of QUT's Centre for Robotics. Investigating new deep learning and computer vision approaches for automating underwater marine surveys.
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This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
This repository contains the code implementation used in the paper: "Human-in-the-Loop Segmentation of Multi-species Coral Imagery".
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
This repository contains the code implementation used in the paper: "AI-driven Deployment of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef".
QUT Centre for Robotics | Marine Robotics Seminar Series | Schedule and Past Talks
Repositories
9This repository contains the code implementation used in the paper: "Human-in-the-Loop Segmentation of Multi-species Coral Imagery".
QUT Centre for Robotics | Marine Robotics Seminar Series | Schedule and Past Talks
This repository contains the code implementation used in the paper: "AI-driven Deployment of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef".
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
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This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
A Multiclass Weed Species Image Dataset for Deep Learning
Google Research
Models and examples built with TensorFlow