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cs.CV2024
Animal Identification with Independent Foreground and Background Modeling
Lukas Picek, Lukas Neumann, Jiri Matas
We propose a method that robustly exploits background and foreground in visual identification of individual animals. Experiments show that their automatic separation, made easy wit…
cs.CV2024
FungiTastic: A multi-modal dataset and benchmark for image categorization
Lukas Picek, Klara Janouskova, Vojtech Cermak +1
We introduce a new, challenging benchmark and a dataset, FungiTastic, based on fungal records continuously collected over a twenty-year span. The dataset is labelled and curated by…
cs.CV2023
Single Image Test-Time Adaptation for Segmentation
Klara Janouskova, Tamir Shor, Chaim Baskin +1
Test-Time Adaptation (TTA) methods improve the robustness of deep neural networks to domain shift on a variety of tasks such as image classification or segmentation. This work expl…