4 papers · 1 filter
Comparative Assessment of Deep Learning Architectures for Underwater Subsurface Kelp Forest Segmentation with The Kelp-o-Tron
Sundarabalan Balasubramanian, César Borja, Ana C. Murillo +5
Submerged kelp forests are vital coastal ecosystems that support marine biodiversity and ecosystem dynamics, yet accurate underwater kelp segmentation remains challenging due to op…
Leveraging existing sparse point annotations for benthic imagery dense segmentation
Cesar Borja, Breck A. McCollum, Jarret E. Byrnes +2
The health of marine ecosystems is a critical indicator of global environmental change, yet the physical constraints of underwater observation and the intrinsic challenges of proce…
SSeg: Active Sparse Point-Label Augmentation for Semantic Segmentation
Cesar Borja, Carlos Plou, Ruben Martinez-Cantin +1
Semantic segmentation is essential for automating remote sensing analysis in fields like ecology. However, fine-grained analysis of complex aerial or underwater imagery remains an…
FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs
Carlos Plou, Cesar Borja, Ruben Martinez-Cantin +1
Finding information in hour-long videos is a challenging task even for top-performing Vision Language Models (VLMs), as encoding visual content quickly exceeds available context wi…