Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning

Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence,
underwater image enhancement   deep learning   color correlation   object detection   semantic collaborative learning   invertible network   heuristic prior  

Academic Background and Problem Statement Underwater images have significant application value in fields such as marine exploration, underwater robotics, and marine life identification. However, due to the refraction and absorption of light by water, underwater images often suffer from low contrast and color distortion, which severely impacts the a...

Diatom Phytochromes Integrate the Underwater Light Spectrum to Sense Depth

Earth Sciences, Marine Science, Engineering, Ocean Engineering, Life Sciences, Biochemistry, Biophysics, Botany,
diatom   phytochrome   underwater light spectrum   depth sensing   photosynthesis  

Report on the Study of Diatom Phytochromes Integrating Underwater Light Spectrum to Sense Depth Academic Background The distribution of light in marine ecosystems profoundly influences aquatic life. Light not only attenuates with depth but also undergoes significant spectral changes. However, research on how phytoplankton perceive these light chang...

Learning to Detect Novel Species with SAM in the Wild

Engineering, Environmental Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
object detection in the wild   semi-supervised learning   incremental learning   novelty detection   biodiversity   wildlife monitoring   plant monitoring  

Academic Paper Report: Open World Object Detection Framework Using SAM Background As the importance of ecosystem monitoring grows, the observation of wildlife and plant populations has become a crucial aspect of ecological conservation and agricultural development. These monitoring tasks include estimating population sizes, identifying species, stu...