8 citations · 8 across the 2 of their papers we have counts for
3 papers · 1 filter
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft +6
Plankton recognition provides novel possibilities to study various environmental aspects and an interesting real-world context to develop domain adaptation (DA) methods. Different…
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh +7
Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to understand the changes in th…
Towards Phytoplankton Parasite Detection Using Autoencoders
Simon Bilik, Daniel Batrakhanov, Tuomas Eerola +9
Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological impact on phytoplankton bloom dynamics. To better understand their i…