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Hierarchical classification for automated image annotation of coral reef benthic structures. arXiv:2412.08228. 2024."},{"key":"ref19","series-title":"Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"6723","article-title":"A revised underwater image formation model","author":"Akkaynak","year":"2018 Jun 18\u201323"},{"key":"ref20","series-title":"2018 IEEE\/OES Autonomous Underwater Vehicle Workshop (AUV); 2018 Nov 6\u20139; Porto, Portugal","first-page":"1","article-title":"Recognition of cold-water corals in synthetic aperture sonar imagery","author":"Sture"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"110790","DOI":"10.1016\/j.patcog.2024.110790","article-title":"Meta-collaborative comparison for effective cross-domain few-shot learning","volume":"156","author":"Zhou","year":"2024","journal-title":"Pattern Recognit"},{"key":"ref22","series-title":"2022 26th International Conference on Pattern Recognition (ICPR); 2022 Aug 21\u201325; Montreal, QC, Canada","first-page":"4637","article-title":"Object detection in 3D coral ecosystem maps from multiple image sequences","author":"Bhandarkar"},{"journal-title":"Advances in neural information processing systems","year":"2017","author":"Snell","key":"ref23"},{"key":"ref24","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2020 Jun 13\u201319; Seattle, WA, USA","first-page":"8805","article-title":"Few-shot learning via embedding adaptation with set-to-set functions","author":"Ye"},{"key":"ref25","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref26","unstructured":"Poulakakis-Daktylidis S, Jamali-Rad H. BECLR: batch enhanced contrastive few-shot learning. arXiv:2402.02444. 2024."},{"key":"ref27","series-title":"Proceedings of the 2015 IEEE International Conference on Computer Vision; 2015 Dec 7\u201313; Santiago, Chile","first-page":"1422","article-title":"Unsupervised visual representation learning by context prediction","author":"Doersch"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/978-3-319-46466-4_5","author":"Noroozi","year":"2016","journal-title":"Computer Vision\u2014ECCV, 2016 (ECCV 2016)"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"3569","DOI":"10.1109\/TIP.2019.2963378","article-title":"Deepzzle: solving visual jigsaw puzzles with deep learning and shortest path optimization","volume":"29","author":"Paumard","year":"2020","journal-title":"IEEE Trans Image Process"},{"key":"ref30","series-title":"Proceedings of the 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2020 Jun 13-19; Seattle, WA, USA","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He"},{"key":"ref31","series-title":"The 37th International Conference on Machine Learning","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"ref32","series-title":"The 6th International Conference on Learning Representations (ICLR 2018)","article-title":"Meta-learning for semi-supervised few-shot classification","author":"Triantafillou","year":"2018 Apr 30\u2013May 3"},{"journal-title":"The caltech-ucsd birds-200-2011 dataset","year":"2011","author":"Wah","key":"ref33"},{"key":"ref34","unstructured":"Maji S, Rahtu E, Kannala J, Blaschko M, Vedaldi A. Fine-grained visual classification of aircraft. arXiv:1306.5151. 2013."},{"key":"ref35","unstructured":"Board WE. World register of marine species; 2024 [Internet]. [cited 2025 Jun 3]. Available from: https:\/\/www.marinespecies.org."},{"key":"ref36","unstructured":"Veron JEN, Stafford-Smith MG, Turak E, DeVantier LM. Corals of the world 2016 [Internet]. [cited 2025 Jun 3]. 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