activity
20202023
most citedPoint Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

27 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 1 cited

Image Labels Are All You Need for Coarse Seagrass Segmentation

Scarlett Raine, Ross Marchant, Brano Kusy +2

Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles…

cs.LG2022

A Real-time Edge-AI System for Reef Surveys

Yang Li, Jiajun Liu, Brano Kusy +12

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are ongoing to manage COT…

cs.CV2022★ 27 cited

Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

Scarlett Raine, Ross Marchant, Brano Kusy +2

Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images…

cs.CV2021★ 9 cited

The CSIRO Crown-of-Thorn Starfish Detection Dataset

Jiajun Liu, Brano Kusy, Ross Marchant +17

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are underway in an attemp…

cs.CV2021

DeepSeagrass Dataset

Scarlett Raine, Ross Marchant, Peyman Moghadam +3

We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009.09924. The images…

cs.CV2020

Multi-species Seagrass Detection and Classification from Underwater Images

Scarlett Raine, Ross Marchant, Peyman Moghadam +3

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecologi…