Upper Ocean
Upper ocean research focuses on understanding the complex physical, chemical, and biological processes within this crucial layer of the ocean. Current investigations utilize diverse approaches, including deep learning models (e.g., transformers, convolutional neural networks) for tasks such as forecasting sea surface temperature, identifying marine life and debris in imagery, and reconstructing ocean conditions from limited data. These advancements are improving our ability to monitor and predict ocean dynamics, with implications for climate modeling, marine conservation, and resource management.
Papers
October 31, 2024
October 19, 2024
October 15, 2024
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
Daniel Holmberg, Emanuela Clementi, Teemu Roos
SeaDATE: Remedy Dual-Attention Transformer with Semantic Alignment via Contrast Learning for Multimodal Object Detection
Shuhan Dong, Yunsong Li, Weiying Xie, Jiaqing Zhang, Jiayuan Tian, Danian Yang, Jie Lei
October 1, 2024
September 30, 2024
September 25, 2024
September 2, 2024
August 5, 2024
July 22, 2024
June 11, 2024
April 22, 2024
April 10, 2024
February 9, 2024
February 1, 2024
December 5, 2023
November 12, 2023
November 6, 2023
October 22, 2023