{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T14:12:40Z","timestamp":1778854360390,"version":"3.51.4"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s10044-026-01682-3","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T13:51:48Z","timestamp":1778853108000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A drone-based framework for coral habitat mapping via weakly supervised segmentation"],"prefix":"10.1007","volume":"29","author":[{"given":"Matteo","family":"Contini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Illien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sylvain","family":"Poulain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serge","family":"Bernard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julien","family":"Barde","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sylvain","family":"Bonhommeau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexis","family":"Joly","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,15]]},"reference":[{"key":"1682_CR1","doi-asserted-by":"publisher","unstructured":"Ove Hoegh-Guldberg, Peter Mumby, A.J. Hooten, R.S. Steneck, Paul Greenfield, Erick Gomez, Catherine Harvell, Peter Sale, Alasdair Edwards, Ken Caldeira, Nancy Knowlton, C.\u00a0Mark Eakin, Roberto Iglesias-Prieto, Nyawira Muthiga, Roger Bradbury, Alfonse Dubi, and M\u00a0Hatziolos. Coral reefs under rapid climate change and ocean acidification. Science (New York, N.Y.), 318:1737\u201342, 01 2008. https:\/\/doi.org\/10.1126\/science.1152509","DOI":"10.1126\/science.1152509"},{"key":"1682_CR2","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1111\/1365-2664.13051","volume":"55","author":"A Rogers","year":"2017","unstructured":"Rogers A, Blanchard J, Mumby P (2017) Fisheries productivity under progressive coral reef degradation. J Appl Ecol 55:12. https:\/\/doi.org\/10.1111\/1365-2664.13051","journal-title":"J Appl Ecol"},{"key":"1682_CR3","unstructured":"Andrew\u00a0W Bruckner. Life-saving products from coral reefs. Issues in Science and Technology, 18(3): 39\u201344, 2002"},{"key":"1682_CR4","doi-asserted-by":"crossref","unstructured":"Deny Hidayati et\u00a0al. The importance of the sustainable use of fishery resources to improve the livelihoods of fishermen on the islands of sumatra and sulawesi, indonesia. In Proceedings of the 5th Conference on Agribusiness, Green Energy, Environment, and Sustainable Development (CAGEES-V5), pages 120\u2013141, Jun 2022","DOI":"10.9734\/bpi\/cagees\/v5\/3118A"},{"key":"1682_CR5","doi-asserted-by":"crossref","unstructured":"Terry\u00a0P Hughes, James\u00a0T Kerry, Mariana \u00c1lvarez-Noriega, Jorge\u00a0G \u00c1lvarez-Romero, Kristen\u00a0D Anderson, Andrew\u00a0H Baird, Russell\u00a0C Babcock, Maria Beger, David\u00a0R Bellwood, Ray Berkelmans, et\u00a0al. Global warming and recurrent mass bleaching of corals. Nature, 543(7645):373\u2013377, 2017","DOI":"10.1038\/nature21707"},{"key":"1682_CR6","doi-asserted-by":"crossref","unstructured":"Terry\u00a0P Hughes, Andrew\u00a0H Baird, David\u00a0R Bellwood, Margaret Card, Sean\u00a0R Connolly, Carl Folke, Richard Grosberg, Ove Hoegh-Guldberg, Jeremy\u00a0BC Jackson, Janice Kleypas, et\u00a0al. Climate change, human impacts, and the resilience of coral reefs. science, 301(5635):929\u2013933, 2003","DOI":"10.1126\/science.1085046"},{"key":"1682_CR7","doi-asserted-by":"crossref","unstructured":"Joost\u00a0W van Dam, Andrew\u00a0P Negri, Sven Uthicke, and Jochen\u00a0F Mueller. Chemical pollution on coral reefs: exposure and ecological effects. In Francisco Sanchez-Bayo, Paul\u00a0J. van\u00a0den Brink, and Reinier\u00a0M. Mann, editors, Ecological Impacts of Toxic Chemicals, pages 187\u2013211. Bentham Science Publishers, 2011","DOI":"10.2174\/978160805121211101010187"},{"key":"1682_CR8","doi-asserted-by":"crossref","unstructured":"Jennifer\u00a0A Cardenas, Zahra Samadikhoshkho, Ateeq\u00a0Ur Rehman, Alexander\u00a0U Valle-P\u00e9rez, Elena Herrera-Ponce de\u00a0Le\u00f3n, Charlotte\u00a0AE Hauser, Eric\u00a0M Feron, and Rafiq Ahmad. A systematic review of robotic efficacy in coral reef monitoring techniques. Marine Pollution Bulletin, 202:116273, 2024","DOI":"10.1016\/j.marpolbul.2024.116273"},{"key":"1682_CR9","doi-asserted-by":"crossref","unstructured":"Benjamin Misiuk and Craig\u00a0J. Brown. Benthic habitat mapping: A review of three decades of mapping biological patterns on the seafloor. Estuarine, Coastal and Shelf Science, 296:108599, 2024. ISSN 0272-7714. https:\/\/doi.org\/10.1016\/j.ecss.2023.108599. URL https:\/\/www.sciencedirect.com\/science\/article\/pii\/S027277142300389X","DOI":"10.1016\/j.ecss.2023.108599"},{"key":"1682_CR10","doi-asserted-by":"crossref","unstructured":"Matteo Contini, Victor Illien, Mohan Julien, Mervyn Ravitchandirane, Victor Russias, Arthur Lazennec, Thomas Chevrier, Cam\u00a0Ly Rintz, L\u00e9anne Carpentier, Pierre Gogendeau, et\u00a0al. Seatizen atlas: a collaborative dataset of underwater and aerial marine imagery. Scientific Data, 12(1):67, 2025a","DOI":"10.1038\/s41597-024-04267-z"},{"key":"1682_CR11","doi-asserted-by":"crossref","unstructured":"Angel Borja, Torsten Berg, Hege Gundersen, Anders\u00a0Gj\u00f8rwad Hagen, Kasper Hancke, Samuli Korpinen, Miguel\u00a0C Leal, Tiziana Luisetti, Iratxe Menchaca, Ciaran Murray, et\u00a0al. Innovative and practical tools for monitoring and assessing biodiversity status and impacts of multiple human pressures in marine systems. Environmental Monitoring and Assessment, 196 (8):694, 2024","DOI":"10.1007\/s10661-024-12861-2"},{"key":"1682_CR12","doi-asserted-by":"crossref","unstructured":"Pierre Gogendeau, Sylvain Bonhommeau, Hassen Fourati, Mohan Julien, Matteo Contini, Thomas Chevrier, Anne\u00a0Elise Nieblas, and Serge Bernard. An autonomous surface vehicle for acoustic tracking, bathymetric and photogrammetric surveys. Ocean Engineering, 331:121201, 2025","DOI":"10.1016\/j.oceaneng.2025.121201"},{"key":"1682_CR13","doi-asserted-by":"crossref","unstructured":"L\u00e9o Broudic, Mathieu Pinault, Romain Claud, Touria Bajjouk, T\u00e9vamie Rungassamy, Natacha Nikolic, Estelle Crochelet, Camille Maz\u00e9, and Benjamin Bergerot. Mapping benthic biodiversity indicators of coral reefs using spatial interpolation. Coral Reefs, 2025. URL https:\/\/doi.org\/10.1007\/s00338-025-02689-8","DOI":"10.21203\/rs.3.rs-5042167\/v1"},{"key":"1682_CR14","doi-asserted-by":"crossref","unstructured":"Justine Talpaert\u00a0Daudon, Matteo Contini, Isabel Urbina-Barreto, Brianna Elliott, Fran\u00e7ois Guilhaumon, Alexis Joly, Sylvain Bonhommeau, and Julien Barde. Geoai for marine ecosystem monitoring: a complete workflow to generate maps from ai model predictions. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, volume\u00a048, pages 223\u2013230. Copernicus GmbH, 2023","DOI":"10.5194\/isprs-archives-XLVIII-4-W7-2023-223-2023"},{"issue":"1","key":"1682_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-022-27980-y","volume":"13","author":"D Tuia","year":"2022","unstructured":"Tuia D, Kellenberger B, Beery S, Costelloe BR, Zuffi S, Risse B, Mathis A, Mathis MW, Van Langevelde F, Burghardt T et al (2022) Perspectives in machine learning for wildlife conservation. Nat Commun 13(1):1\u201315","journal-title":"Nat Commun"},{"issue":"12","key":"1682_CR16","doi-asserted-by":"publisher","first-page":"2753","DOI":"10.1111\/ele.14123","volume":"25","author":"M Besson","year":"2022","unstructured":"Besson M, Alison J, Bjerge K, Gorochowski TE, H\u00f8ye TT, Jucker T, Mann HMR, Clements CF (2022) Towards the fully automated monitoring of ecological communities. Ecol Lett 25(12):2753\u20132775","journal-title":"Ecol Lett"},{"issue":"8","key":"1682_CR17","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1002\/rob.21915","volume":"36","author":"I Alonso","year":"2019","unstructured":"Alonso I, Yuval M, Eyal G, Treibitz T, Murillo AC (2019) Coralseg: learning coral segmentation from sparse annotations. J Field Robot 36(8):1456\u20131477","journal-title":"J Field Robot"},{"issue":"3","key":"1682_CR18","doi-asserted-by":"publisher","first-page":"8291","DOI":"10.1109\/LRA.2022.3187836","volume":"7","author":"S Raine","year":"2022","unstructured":"Raine S, Marchant R, Kusy B, Maire F, Fischer T (2022) Point label aware superpixels for multi-species segmentation of underwater imagery. IEEE Robot Automat Lett 7(3):8291\u20138298","journal-title":"IEEE Robot Automat Lett"},{"key":"1682_CR19","doi-asserted-by":"crossref","unstructured":"Jiageng Zhong, Ming Li, Hanqi Zhang, and Jiangying Qin. Combining photogrammetric computer vision and semantic segmentation for fine-grained understanding of coral reef growth under climate change. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pages 186\u2013195, 2023","DOI":"10.1109\/WACVW58289.2023.00024"},{"key":"1682_CR20","doi-asserted-by":"crossref","unstructured":"Ziqiang Zheng, Haixin Liang, Binh-Son Hua, Yue\u00a0Him Wong, Put Ang, Apple Pui\u00a0Yi Chui, and Sai-Kit Yeung. Coralscop: segment any coral image on this planet. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pages 28170\u201328180, 2024","DOI":"10.1109\/CVPR52733.2024.02661"},{"issue":"5","key":"1682_CR21","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1111\/2041-210X.14307","volume":"15","author":"J Sauder","year":"2024","unstructured":"Sauder J, Banc-Prandi G, Meibom A, Tuia D (2024) Scalable semantic 3d mapping of coral reefs with deep learning. Methods Ecol Evol 15(5):916\u2013934","journal-title":"Methods Ecol Evol"},{"key":"1682_CR22","doi-asserted-by":"crossref","unstructured":"Jonathan Sauder, Viktor Domazetoski, Guilhem Banc-Prandi, Gabriela Perna, Anders Meibom, and Devis Tuia. The coralscapes dataset: Semantic scene understanding in coral reefs. arXiv preprint arXiv:2503.20000, 2025","DOI":"10.1109\/ICCVW69036.2025.00223"},{"key":"1682_CR23","volume":"26","author":"M Doukari","year":"2022","unstructured":"Doukari M, Topouzelis K (2022) Overcoming the uas limitations in the coastal environment for accurate habitat mapping. Remote Sens App Soc Environ 26:100726","journal-title":"Remote Sens App Soc Environ"},{"key":"1682_CR24","doi-asserted-by":"crossref","unstructured":"Liang Qu, Xiaoli Song, Mengmeng Zhang, Juan Wang, Ruobing Wen, and Shengke Wang. Gan-based defogging and multiscale fusion approach for uav-based seagrass bed imagery semantic segmentation in challenging marine environments. In International Conference of Pioneering Computer Scientists, Engineers and Educators, pages 55\u201372. Springer, 2024","DOI":"10.1007\/978-981-97-8743-2_5"},{"key":"1682_CR25","doi-asserted-by":"crossref","unstructured":"Kristina \u00d8ie Kvile, Hege Gundersen, Robert\u00a0N\u00f8ddebo Poulsen, James\u00a0Edward Sample, Arnt-B\u00f8rre Salberg, Medyan\u00a0Esam Ghareeb, Toms Buls, Trine Bekkby, and Kasper Hancke. Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification. MethodsX, 13:102935, 2024. ISSN 2215-0161. https:\/\/doi.org\/10.1016\/j.mex.2024.102935. URL https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2215016124003868","DOI":"10.1016\/j.mex.2024.102935"},{"key":"1682_CR26","doi-asserted-by":"publisher","first-page":"8370","DOI":"10.1109\/JSTARS.2023.3335891","volume":"17","author":"L Huang","year":"2024","unstructured":"Huang L, Jiang B, Lv S, Liu Y, Ying F (2024) Deep-learning-based semantic segmentation of remote sensing images: a survey. IEEE J Select Topics Appl Earth Observ Remote Sens 17:8370\u20138396. https:\/\/doi.org\/10.1109\/JSTARS.2023.3335891","journal-title":"IEEE J Select Topics Appl Earth Observ Remote Sens"},{"issue":"14","key":"1682_CR27","doi-asserted-by":"publisher","first-page":"3606","DOI":"10.3390\/rs15143606","volume":"15","author":"J Wang","year":"2023","unstructured":"Wang J, Wang Y, Liu L, Yin H, Ye N, Can X (2023) Weakly supervised forest fire segmentation in uav imagery based on foreground-aware pooling and context-aware loss. Remote Sensing 15(14):3606","journal-title":"Remote Sensing"},{"key":"1682_CR28","doi-asserted-by":"crossref","unstructured":"Hyeokjun Kweon and Kuk-Jin Yoon. From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pages 19499\u201319509, 2024","DOI":"10.1109\/CVPR52733.2024.01844"},{"key":"1682_CR29","doi-asserted-by":"crossref","unstructured":"Bingfeng Zhang, Siyue Yu, Yunchao Wei, Yao Zhao, and Jimin Xiao. Frozen clip: A strong backbone for weakly supervised semantic segmentation. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 3796\u20133806, 2024","DOI":"10.1109\/CVPR52733.2024.00364"},{"issue":"5","key":"1682_CR30","doi-asserted-by":"publisher","first-page":"808","DOI":"10.3390\/rs17050808","volume":"17","author":"Z Chen","year":"2025","unstructured":"Chen Z, Lian Y, Bai J, Zhang J, Xiao Z, Hou B (2025) Weakly supervised semantic segmentation of remote sensing images using siamese affinity network. Remote Sensing 17(5):808","journal-title":"Remote Sensing"},{"key":"1682_CR31","doi-asserted-by":"publisher","first-page":"40981","DOI":"10.1609\/aaai.v40i48.42133","volume":"40","author":"S Raine","year":"2026","unstructured":"Raine S, Fischer T (2026) Ai-driven marine robotics: emerging trends in underwater perception and ecosystem monitoring. In Proceedings of the AAAI Conference on Artificial Intelligence 40:40981\u201340989","journal-title":"In Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"1682_CR32","doi-asserted-by":"crossref","unstructured":"Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, and Tobias Fischer. Image labels are all you need for coarse seagrass segmentation. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pages 5943\u20135952, 2024","DOI":"10.1109\/WACV57701.2024.00584"},{"key":"1682_CR33","unstructured":"Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose\u00a0M. Alvarez, and Ping Luo. Segformer: Simple and efficient design for semantic segmentation with transformers. In M.\u00a0Ranzato, A.\u00a0Beygelzimer, Y.\u00a0Dauphin, P.S. Liang, and J.\u00a0Wortman Vaughan, editors, Advances in Neural Information Processing Systems, volume\u00a034, pages 12077\u201312090. Curran Associates, Inc., 2021. URL https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2021\/file\/64f1f27bf1b4ec22924fd0acb550c235-Paper.pdf"},{"key":"1682_CR34","unstructured":"Yuqi Lin, Hengjia Li, Wenqi Shao, Zheng Yang, Jun Zhao, Xiaofei He, Ping Luo, and Kaipeng Zhang. Samrefiner: Taming segment anything model for universal mask refinement. arXiv preprint arXiv:2502.06756, 2025"},{"key":"1682_CR35","doi-asserted-by":"crossref","unstructured":"Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander\u00a0C Berg, Wan-Yen Lo, et\u00a0al. Segment anything. In Proceedings of the IEEE\/CVF international conference on computer vision, pages 4015\u20134026, 2023","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"1682_CR36","doi-asserted-by":"crossref","unstructured":"Matteo Contini, Victor Illien, Sylvain Poulain, Serge Bernard, Julien Barde, Sylvain Bonhommeau, and Alexis Joly. The point is the mask: scaling coral reef segmentation with weak supervision. In ICCV 2025-Joint Workshop on Marine Vision, 2025b","DOI":"10.1109\/ICCVW69036.2025.00217"},{"key":"1682_CR37","doi-asserted-by":"crossref","unstructured":"Matteo Contini, Victor Illien, Julien Barde, Sylvain Poulain, Serge Bernard, Alexis Joly, and Sylvain Bonhommeau. From underwater to drone: A novel multi-scale knowledge distillation approach for coral reef monitoring. Ecological Informatics, page 103149, 2025c","DOI":"10.1016\/j.ecoinf.2025.103149"},{"key":"1682_CR38","doi-asserted-by":"publisher","unstructured":"Matteo Contini, Sylvain Bonhommeau, Serge Bernard, and Julien Barde. Aerial images collected by an unmanned aerial vehicle in trou-deau, r\u00e9union - 2023-12-02 (processed_data), May 2025d. URL https:\/\/doi.org\/10.5281\/zenodo.14747589","DOI":"10.5281\/zenodo.14747589"},{"key":"1682_CR39","doi-asserted-by":"publisher","unstructured":"Matteo Contini, Sylvain Bonhommeau, Serge Bernard, and Julien Barde. Aerial images collected by an unmanned aerial vehicle in st-leu, r\u00e9union - 2023-12-08 (processed_data), May 2025e. URL https:\/\/doi.org\/10.5281\/zenodo.14748689","DOI":"10.5281\/zenodo.14748689"},{"key":"1682_CR40","doi-asserted-by":"publisher","unstructured":"Matteo Contini, C\u00e9sar Leblanc, and Victor Illien. Dinovdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze \u2013 Hugging Face. https:\/\/doi.org\/10.57967\/hf\/2947, 2024a","DOI":"10.57967\/hf\/2947,"},{"key":"1682_CR41","doi-asserted-by":"publisher","unstructured":"Contini M, Barde J, Bonhommeau S, Illien V, Joly A (2024). Seatizen atlas image dataset. https:\/\/doi.org\/10.5281\/zenodo.13951614","DOI":"10.5281\/zenodo.13951614"},{"issue":"1","key":"1682_CR42","doi-asserted-by":"publisher","first-page":"15534","DOI":"10.1038\/s41598-020-72664-6","volume":"10","author":"Y Zhao","year":"2020","unstructured":"Zhao Y, Wong L, Goh WWB (2020) How to do quantile normalization correctly for gene expression data analyses. Sci Rep 10(1):15534","journal-title":"Sci Rep"},{"key":"1682_CR43","doi-asserted-by":"crossref","unstructured":"Lyndon Chan, Mahdi\u00a0S Hosseini, and Konstantinos\u00a0N Plataniotis. A comprehensive analysis of weakly-supervised semantic segmentation in different image domains. International Journal of Computer Vision, 129 (2):361\u2013384, 2021","DOI":"10.1007\/s11263-020-01373-4"},{"key":"1682_CR44","unstructured":"Lixiang Ru, Yibing Zhan, Baosheng Yu, and Bo\u00a0Du. Learning affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 16846\u201316855, 2022"},{"key":"1682_CR45","unstructured":"Reza Azad, Moein Heidary, Kadir Yilmaz, Michael H\u00fcttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, and Dorit Merhof. Loss functions in the era of semantic segmentation: A survey and outlook. arXiv preprint arXiv:2312.05391, 2023"},{"key":"1682_CR46","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014"},{"key":"1682_CR47","unstructured":"Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, and Tianyi Zhou. A survey on knowledge distillation of large language models. arXiv preprint arXiv:2402.13116, 2024"},{"key":"1682_CR48","unstructured":"Tobias Schlosser, Michael Friedrich, Trixy Meyer, and Danny Kowerko. A consolidated overview of evaluation and performance metrics for machine learning and computer vision. Tobias Schlosser, Michael Friedrich, Trixy Meyer, and Danny Kowerko\u2013Junior Professorship of Media Computing, Chemnitz University of Technology, 9107, 2024"},{"key":"1682_CR49","unstructured":"Kevin Lamy, Nils Poncet, \u00c9lodie Marpinard, R\u00e9mi Belon, J-P Cammas, Clotilde Dubois, and Marie-Dominique Leroux. CLIMAAX-Deliverable Phase 1\u2013Climate risk assessment. PhD thesis, CLIMAAX; R\u00e9gion R\u00e9union; CNRS; OSU R\u00e9union, 2025"},{"key":"1682_CR50","doi-asserted-by":"crossref","unstructured":"Carole\u00a0H Sudre, Wenqi Li, Tom Vercauteren, Sebastien Ourselin, and M\u00a0Jorge\u00a0Cardoso. Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings 3, pages 240\u2013248. Springer, 2017","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"1682_CR51","unstructured":"Z\u00a0Zhao, C\u00a0Fan, and L\u00a0Liu. Geo sam: a qgis plugin using segment anything model (sam) to accelerate geospatial image segmentation. Zenodo. Available from: https:\/\/doi. org\/10.5281\/zenodo, 8191039(10969837):0, 2023"},{"issue":"9","key":"1682_CR52","doi-asserted-by":"publisher","first-page":"2057","DOI":"10.1002\/lno.12649","volume":"69","author":"J Pierrat","year":"2024","unstructured":"Pierrat J, Urbistondoy L, Modi A, Viramoutou B, Frouin P (2024) Searching for drivers of the patchy distribution of sympatric deposit-feeding sea cucumbers: A multi-scale monitoring study. Limnol Oceanogr 69(9):2057\u20132070","journal-title":"Limnol Oceanogr"},{"key":"1682_CR53","doi-asserted-by":"crossref","unstructured":"Jeffrey Knitter, Daniel\u00a0TH Lai, Luke Baxter, Nirman Jayarathne, and Sam De\u00a0Vincentis. Survey of autonomous drone hangars-opportunities and challenges for maritime platforms. In Proceedings of the International Conference on, volume\u00a02, pages 81\u201387, 2024","DOI":"10.29007\/nxbz"},{"key":"1682_CR54","first-page":"343","volume":"2","author":"H Zhang","year":"2022","unstructured":"Zhang H, Gr\u00fcn A, Li M (2022) Deep learning for semantic segmentation of coral images in underwater photogrammetry. ISPRS Annal Photogram Remote Sens Spatl Info Sci 2:343\u2013350","journal-title":"ISPRS Annal Photogram Remote Sens Spatl Info Sci"},{"key":"1682_CR55","unstructured":"Oriane Sim\u00e9oni, Huy\u00a0V Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seungeun Yi, Micha\u00ebl Ramamonjisoa, et\u00a0al. Dinov3. arXiv preprint arXiv:2508.10104, 2025"},{"key":"1682_CR56","doi-asserted-by":"crossref","unstructured":"Quang-Trung Truong, Yuk-Kwan Wong, Vo\u00a0Hoang Kim\u00a0Tuyen Dang, Rinaldi Gotama, Duc\u00a0Thanh Nguyen, and Sai-Kit Yeung. Msc: A marine wildlife video dataset with grounded segmentation and clip-level captioning. arXiv preprint arXiv:2508.04549, 2025","DOI":"10.1145\/3746027.3758198"},{"issue":"2","key":"1682_CR57","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1111\/2041-210X.14477","volume":"16","author":"T Remmers","year":"2025","unstructured":"Remmers T, Boutros N, Wyatt M, Gordon S, Toor M, Roelfsema C, Fabricius K, Grech A, Lechene M, Ferrari R (2025) Rapidbenthos: Automated segmentation and multi-view classification of coral reef communities from photogrammetric reconstruction. Methods Ecol Evol 16(2):427\u2013441","journal-title":"Methods Ecol Evol"},{"key":"1682_CR58","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.13951435","author":"M Contini","year":"2024","unstructured":"Contini M, Barde J, Bonhommeau S, Illien V, Joly A (2024). Seatizen atlas. https:\/\/doi.org\/10.5281\/zenodo.13951435","journal-title":"Seatizen atlas"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-026-01682-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-026-01682-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-026-01682-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T13:52:06Z","timestamp":1778853126000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-026-01682-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,15]]},"references-count":58,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["1682"],"URL":"https:\/\/doi.org\/10.1007\/s10044-026-01682-3","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,15]]},"assertion":[{"value":"14 February 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"During the preparation of this work the author(s) used ChatGPT-4o and GitHub Copilot in order to improve language and readability. After using this tool\/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article. This tools were not involved in the design, implementation, data analysis, or manuscript preparation of the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration of generative AI and AI-assisted technologies in the writing process"}}],"article-number":"99"}}