sgraine
Research Fellow at QUT's Centre for Robotics. Investigating new deep learning and computer vision approaches for automating underwater marine surveys.
Queensland University of TechnologyBrisbane, Australia
Pinned Repositories
deepseagrass
This repository contains the code implementation used in the paper "Multi-species Seagrass Detection and Classification from Underwater Images"
PCAonGPU
A GPU-based Incremental PCA implementation.
Denoising-ViT
This is the official code release for our work, Denoising Vision Transformers.
bag-of-seagrass
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
DeepWeeds
A Multiclass Weed Species Image Dataset for Deep Learning
google-research
Google Research
HIL-coral-segmentation
This repository contains the code implementation used in the paper: "Human-in-the-Loop Segmentation of Multi-species Coral Imagery".
models
Models and examples built with TensorFlow
point-label-aware-superpixels
This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
sgraine's Repositories
sgraine/point-label-aware-superpixels
This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
sgraine/bag-of-seagrass
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
sgraine/HIL-coral-segmentation
This repository contains the code implementation used in the paper: "Human-in-the-Loop Segmentation of Multi-species Coral Imagery".
sgraine/DeepWeeds
A Multiclass Weed Species Image Dataset for Deep Learning
sgraine/google-research
Google Research
sgraine/models
Models and examples built with TensorFlow