Despite their small individual size, marine prokaryotic and eukaryotic microbes can form
large 3D structures and complex habitats. These habitats contribute to seafloor …

High-quality data is necessary for modern machine learning. However, the acquisition of
such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of …

Deep-sea mining may be just a few years away and yet society is struggling to assess the
positive aspects, such as increasing the supply of metals for battery production to fuel the …

Abstract The Clarion Clipperton Fracture Zone (CCZ) is an abyssal region in the north-east
Pacific that is currently being explored for metal-rich polymetallic nodules, but also harbors a …

Abstract Representation learning has significantly driven the field to develop pretrained
models that can act as a valuable starting point when transferring to new datasets. With the …

Understanding and preserving the deep sea ecosystems is paramount for marine
conservation efforts. Automated object (deep-sea biota) classification can enable the …

The automatic classification of marine species based on images is a challenging task for
which multiple solutions have been increasingly provided in the past two decades. Oceans …

Underwater images are used to explore and monitor ocean habitats, generating huge
datasets with unusual data characteristics that preclude traditional data management …

In marine research, image data sets from the same area but collected at different times allow
seafloor fauna communities to be monitored over time. However, ongoing technological …

Three-dimensional deep-sea structures enhance substrate complexity and can shape
numerous ecological hotspots that play critical roles in the diversity and distribution of …