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q-bio.QM2023
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers
Florian Kowarsch, Lisa Weijler, FLorian Kleber +4
Explainability for Deep Learning Models is especially important for clinical applications, where decisions of automated systems have far-reaching consequences. While various post-h…
cs.CV2023
Towards Writer Retrieval for Historical Datasets
Marco Peer, Florian Kleber, Robert Sablatnig
This paper presents an unsupervised approach for writer retrieval based on clustering SIFT descriptors detected at keypoint locations resulting in pseudo-cluster labels. With those…