Enabling nearshore cross-modal video object detector to learn more accurate spatial and temporal information

Key Points

• Improved accuracy in spatial and temporal information is essential for effective video object detection.
• The cross-modal approach enhances detection capabilities across varying conditions, leading to higher precision.
• Observational analysis incorporated diverse datasets from nearshore environments, focusing on real-time applications.
• Highlights the need for refining models in specific ecological contexts, emphasizing practical utility.