What is human-centered about human-centered AI? A map of the research landscape

T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

Close-range underwater photogrammetry for coral reef ecology: A systematic literature review

T Remmers, A Grech, C Roelfsema, S Gordon… - Coral Reefs, 2024 - Springer
Close-range underwater photogrammetry, hereafter referred to as photogrammetry, is
rapidly emerging as a new standard in measuring and monitoring coral reefs due to its …

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef

R Deo, CM John, C Zhang, K Whitton, T Salles… - Scientific Data, 2024 - nature.com
Understanding and preserving the deep sea ecosystems is paramount for marine
conservation efforts. Automated object (deep-sea biota) classification can enable the …

CNet: A novel seabed coral reef image segmentation approach based on deep learning

H Zhang, M Li, J Zhong, J Qin - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Achieving underwater coral seabed image segmentation involves dividing an image into
meaningful regions or segments, which, in this case, could represent different types of …

Seeing the forest for the trees: Map** cover and counting trees from aerial images of a mangrove forest using artificial intelligence

D Schürholz, GA Castellanos-Galindo, E Casella… - Remote Sensing, 2023 - mdpi.com
Mangrove forests provide valuable ecosystem services to coastal communities across
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …

A survey on underwater coral image segmentation based on deep learning

M Li, H Zhang, A Gruen, D Li - Geo-spatial Information Science, 2024 - Taylor & Francis
Image-based coral reef survey technologies have revolutionized the monitoring of coral
reefs by offering a cost-effective and noninvasive method for collecting data across large …

Human-in-the-loop segmentation of multi-species coral imagery

S Raine, R Marchant, B Kusy, F Maire… - Proceedings of the …, 2024 - openaccess.thecvf.com
Broad-scale marine surveys performed by underwater vehicles significantly increase the
availability of coral reef imagery however it is costly and time-consuming for domain experts …

A test for evaluating performance in human-computer systems

A Campero, M Vaccaro, J Song, H Wen… - arxiv preprint arxiv …, 2022 - arxiv.org
The Turing test for comparing computer performance to that of humans is well known, but,
surprisingly, there is no widely used test for comparing how much better human-computer …

Applying deep learning to predict SST variation and tropical cyclone patterns that influence coral bleaching

YC Lin, SN Feng, CY Lai, HT Tseng, CW Huang - Ecological Informatics, 2023 - Elsevier
Abstract South Penghu Marine National Park, Taiwan experienced severe coral bleaching in
2020 that may lead to coral mortality. Corals are important animals that enrich marine …

[HTML][HTML] Quantifying the loss of coral from a bleaching event using underwater photogrammetry and AI-assisted image segmentation

KL Kopecky, G Pavoni, E Nocerino, AJ Brooks… - Remote Sensing, 2023 - mdpi.com
Detecting the impacts of natural and anthropogenic disturbances that cause declines in
organisms or changes in community composition has long been a focus of ecology …