2 papers
cs.CV2026
Self-Supervised Federated Learning under Data Heterogeneity for Label-Scarce Diatom Classification
Mingkun Tan, Xilu Wang, Michael Kloster +1
Label-scarce visual classification under decentralized and heterogeneous data is a fundamental challenge in pattern recognition, especially when sites exhibit partially overlapping…
cs.LG2026
Leveraging Phytolith Research using Artificial Intelligence
Andrés G. MejÃa Ramón, Kate Dudgeon, Nina Witteveen +6
Phytolith analysis is a crucial tool for reconstructing past vegetation and human activities, but traditional methods are severely limited by labour-intensive, time-consuming manua…