2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
mbariml: a curation pipeline for turning deep-sea imagery and video into object-detection training data
Lonny Lundsten, Kevin Barnard, Dave Caress
Training data quantity and quality greatly affect object detection model performance, regardless of model architecture. When using object detection models on video and images from…
cs.HC2024★ 2 cited
DeepSee: Multidimensional Visualizations of Seabed Ecosystems
Adam Coscia, Haley M. Sapers, Noah Deutsch +14
Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cyc…