First record of the common sun star Crossaster papposus (L., 1767) in the Baltic Sea in over 100 years by Romoth Katharina, Gogina Mayya, Beisiegel Kolja, Darr Alexander, Zettler Michael Lothar

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A cost‐effective video system for a rapid appraisal of deep‐sea benthic habitats: The Azor drift‐cam by Carlos Dominguez‐Carrió, Jorge Fontes, Telmo Morato

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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

Subjects: “…Underwater image enhancement…”
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Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study by Ashraf Saleem, Ali Awad, Sidike Paheding, Evan Lucas, Timothy C. Havens, Peter C. Esselman

Subjects: “…underwater image enhancement…”
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PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement by Huidi Jia, Qiang Wang, Bo Fu, Zhimin Zheng, Yandong Tang

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Studies on Underwater Image Processing Using Artificial Intelligence Technologies by Sugunapriya A, Markkandan S

Subjects: “…Underwater image enhancement…”
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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

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Light intensity, spectrum and polarization information fusion based underwater object detection by Zhe CHEN, Hui-bin WANG, Jie SHEN, Li-zhong XU

Subjects: “…underwater image processing…”
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Robust underwater object tracking with image enhancement and two-step feature compression by Jiaqing Li, Chaocan Xue, Xuan Luo, Yubin Fu, Bin Lin

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Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency by Kai Hu, Yuancheng Meng, Zichen Liao, Lei Tang, Xiaoling Ye

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Noise Robust Underwater Fishing Net Recognition Based on Range Gated Imaging by Zhensong Xu, Xinwei Wang, Liang Sun, Bo Song, Yue Zhang, Pingshun Lei, Jianan Chen, Jun He, Yan Zhou, Yuliang Liu

Subjects: “…Underwater image recognition…”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

Subjects: “…underwater image enhancement…”
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A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

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