Kaisa Kraft

According to our database, Kaisa Kraft authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Self-Supervised Pretraining for Fine-Grained Plankton Recognition.

Joona Kareinen, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Sanna Suikkanen, Heikki Kälviäinen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives.

Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, Jukka Seppälä, Timo Tamminen, Heikki Kälviäinen

Artif. Intell. Rev., May, 2024

DAPlankton: Benchmark Dataset For Multi-Instrument Plankton Recognition Via Fine-Grained Domain Adaptation.

Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, María Teresa Camarena-Gómez, Jukka Seppälä, Heikki Kälviäinen

Proceedings of the IEEE International Conference on Image Processing, 2024

Open-Set Plankton Recognition.

Joona Kareinen, Annaliina Skyttä, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Sanna Suikkanen, Maiju Lehtiniemi, Heikki Kälviäinen

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Toward phytoplankton parasite detection using autoencoders.

Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák

Mach. Vis. Appl., November, 2023

Towards Phytoplankton Parasite Detection Using Autoencoders.

Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák

CoRR, 2023

2022

Open-Set Plankton Recognition Using Similarity Learning.

Ola Badreldeen Bdawy Mohamed, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022