DEEP LEARNING FOR SEMANTIC SEGMENTATION OF CORAL IMAGES IN UNDERWATER PHOTOGRAMMETRY

17 citations as recorded by crossref.

1. New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision D. Langenkämper et al. https://doi.org/10.1007/s44289-024-00023-8
2. HKCoral: Benchmark for Dense Coral Growth Form Segmentation in the Wild Z. Zheng et al. https://doi.org/10.1109/JOE.2024.3494112
3. Machine learning, eDNA and citizen science in monitoring and assessing biodiversity and invasive alien species at sea A. Borja et al. https://doi.org/10.3389/fmars.2026.1891674
4. Human-in-the-Loop Segmentation of Multispecies Coral Imagery S. Raine et al. https://doi.org/10.1109/JOE.2025.3625691
5. Deep Learning for Multilabel Classification of Coral Reef Conditions in the Indo‐Pacific Using Underwater Photo Transect Method X. Shao et al. https://doi.org/10.1002/aqc.4241
6. Coral morphology detection in underwater imagery using YOLOv12 with CNN and transformer encoder fusion P. Nandal et al. https://doi.org/10.1038/s41598-026-42591-z
7. Pretrained U-Net: in-depth analysis of binary image segmentation in underwater marine environment G. George & A. S https://doi.org/10.1007/s44379-024-00003-x
8. Fine-Grained 3D Modeling and Semantic Mapping of Coral Reefs Using Photogrammetric Computer Vision and Machine Learning J. Zhong et al. https://doi.org/10.3390/s23156753
9. Advancing coral reef monitoring: a deep learning perspective on automated segmentation and classification H. Malik et al. https://doi.org/10.1007/s42452-025-07831-3
10. An efficient approach to detect and segment underwater images using Swin Transformer P. S & C. Denny J https://doi.org/10.1016/j.rineng.2024.102460
11. Quantifying the Loss of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image Segmentation K. Kopecky et al. https://doi.org/10.3390/rs15164077
12. A survey on underwater coral image segmentation based on deep learning M. Li et al. https://doi.org/10.1080/10095020.2024.2343323
13. Enhancing Underwater Image Segmentation: A Semantic Approach to Segment Objects in Challenging Aquatic Environment G. George & A. S https://doi.org/10.1016/j.procs.2024.04.036
14. From Remote Sensing to Artificial Intelligence in Coral Reef Monitoring V. Piñeros et al. https://doi.org/10.3390/machines12100693
15. Semantic Segmentation of Coral Reefs Using Convolutional Neural Networks: A Case Study in Kiritimati, Kiribati D. Harrison et al. https://doi.org/10.3390/rs17213529
16. A review of deep learning methods in aquatic animal husbandry M. Mohd Stofa et al. https://doi.org/10.7717/peerj-cs.3105
17. CRUHI-Mamba: a Mamba-based underwater hyperspectral image classification framework for coral reef benthic mapping F. Zhang et al. https://doi.org/10.1080/15481603.2026.2679361