Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Olga Moskvyak"'
Autor:
Drew Blount, Shane Gero, Jon Van Oast, Jason Parham, Colin Kingen, Ben Scheiner, Tanya Stere, Mark Fisher, Gianna Minton, Christin Khan, Violaine Dulau, Jaime Thompson, Olga Moskvyak, Tanya Berger-Wolf, Charles V. Stewart, Jason Holmberg, J. Jacob Levenson
Publikováno v:
Mammalian Biology. 102:1005-1023
Determining which species are at greatest risk, where they are most vulnerable, and what are the trajectories of their communities and populations is critical for conservation and management. Globally distributed, wide-ranging whales and dolphins pre
Publikováno v:
WACV
Learning embeddings that are invariant to the pose of the object is crucial in visual image retrieval and re-identification. The existing approaches for person, vehicle, or animal re-identification tasks suffer from high intra-class variance due to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1b6003c0d5c985f0a71c2991168a95
http://arxiv.org/abs/2008.11368
http://arxiv.org/abs/2008.11368
Publikováno v:
WACV Workshops
Re-identification of individual animals in images can be ambiguous due to subtle variations in body markings between different individuals and no constraints on the poses of animals in the wild. Person re-identification is a similar task and it has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b6b1eb2455eb99275014a320108aa4e
http://arxiv.org/abs/2001.02801
http://arxiv.org/abs/2001.02801
Visual identification of individual animals that bear unique natural body markings is an important task in wildlife conservation. The photo databases of animal markings grow larger and each new observation has to be matched against thousands of image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d031a63116c1254039f3c16f645b51
http://arxiv.org/abs/1902.10847
http://arxiv.org/abs/1902.10847
Autor:
Olga Moskvyak, Frederic Maire
Publikováno v:
DICTA
Despite impressive results in object classification, verification and recognition, most deep neural network based recognition systems become brittle when the view point of the camera changes dramatically. Robustness to geometric transformations is hi