297 citations · 401 across the 24 of their papers we have counts for
6 papers · 1 filter
Degradation-based augmented training for robust individual animal re-identification
Thanos Polychronou, Lukáš Adam, Viktor Penchev +1
Wildlife re-identification aims to recognise individual animals by matching query images to a database of previously identified individuals, based on their fine-scale unique morpho…
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros
We extend a recently introduced deep unrolling framework for learning spatially varying regularisation parameters in inverse imaging problems to the case of Total Generalised Varia…
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1
This paper introduces WildlifeReID-10k, a new large-scale re-identification benchmark with more than 10k animal identities of around 33 species across more than 140k images, re-sam…
WildlifeDatasets: An open-source toolkit for animal re-identification
Vojtěch Čermák, Lukas Picek, Lukáš Adam +1
In this paper, we present WildlifeDatasets (https://github.com/WildlifeDatasets/wildlife-datasets) - an open-source toolkit intended primarily for ecologists and computer-vision /…
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification
Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1
This paper introduces the first public large-scale, long-span dataset with sea turtle photographs captured in the wild -- SeaTurtleID2022 (https://www.kaggle.com/datasets/wildlifed…
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification
Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1
This paper introduces the first public large-scale, long-span dataset with sea turtle photographs captured in the wild -- \href{https://www.kaggle.com/datasets/wildlifedatasets/sea…