Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Krzysztof Chalupka"'
Publikováno v:
CVPR
Trained on large datasets, deep learning (DL) can accurately classify videos into hundreds of diverse classes. However, video data is expensive to annotate. Zero-shot learning (ZSL) proposes one solution to this problem. ZSL trains a model once, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be9ae7cf75322e7c649a22603dda67a6
http://arxiv.org/abs/2003.01455
http://arxiv.org/abs/2003.01455
Publikováno v:
Behaviormetrika. 44:137-164
Causal feature learning (CFL) (Chalupka et al., Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. AUAI Press, Edinburgh, pp 181–190, 2015) is a causal inference framework rooted in the language of causal graphica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac70f7c625075f53d04093686f9b5bf3
https://doi.org/10.1007/s41237-016-0008-2
https://doi.org/10.1007/s41237-016-0008-2
Brains and sensory systems evolved to guide motion. Central to this task is controlling the approach to stationary obstacles and detecting moving organisms. Looming has been proposed as the main monocular visual cue for detecting the approach of othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be51723dd41339ca74035829776b292
https://doi.org/10.1101/029819
https://doi.org/10.1101/029819
Publikováno v:
Bioinspiration & Biomimetics; Aug2016, Vol. 11 Issue 4, p1-1, 1p