Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Segment Level Annotation"'
Autor:
Tammewar, Aniruddha Uttam, Franziska, Braun, Roccabruna, Gabriel, Sebastian, Bayerl, Korbinian, Riedhammer, Riccardi, Giuseppe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3432::52aadb1943f1506ec04d3fe399a4dc3c
https://lrec2022.lrec-conf.org/en/conference-programme/accepted-papers/
https://lrec2022.lrec-conf.org/en/conference-programme/accepted-papers/
Autor:
Zhou, Jinxing, Guo, Dan, Guo, Ruohao, Mao, Yuxin, Hu, Jingjing, Zhong, Yiran, Chang, Xiaojun, Wang, Meng
The Audio-Visual Event Localization (AVEL) task aims to temporally locate and classify video events that are both audible and visible. Most research in this field assumes a closed-set setting, which restricts these models' ability to handle test data
Externí odkaz:
http://arxiv.org/abs/2411.11278
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Existing temporal action localization (TAL) works rely on a large number of training videos with exhaustive segment-level annotation, preventing them from scaling to new classes. As a solution to this problem, few-shot TAL (FS-TAL) aims to adapt a mo
Externí odkaz:
http://arxiv.org/abs/2110.10552
Publikováno v:
Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 1, p2565-2587, 23p
Autor:
Moss, Fabian C.1 fabian.moss@epfl.ch, Neuwirth, Markus1, Harasim, Daniel1, Rohrmeier, Martin1
Publikováno v:
PLoS ONE. 6/6/2019, Vol. 14 Issue 6, p1-16. 16p.
Autor:
Kovačević, Aleksandar1 kocha78@uns.ac.rs, Konjović, Zora1 ftn_zora@uns.ac.rs, Milosavljević, Branko1 mbranko@uns.ac.rs, Nenadic, Goran2 G.Nenadic@manchester.ac.uk
Publikováno v:
Computer Speech & Language. Apr2012, Vol. 26 Issue 2, p105-126. 22p.
Autor:
Kuppusamy, K. S., Aghila, G.
Publikováno v:
International Journal on Cybernetics & Informatics (IJCI), Vol.1, No.4, August 2012
The evaluation of web pages against a query is the pivot around which the Information Retrieval domain revolves around. The context sensitive, semantic evaluation of web pages is a non-trivial problem which needs to be addressed immediately. This res
Externí odkaz:
http://arxiv.org/abs/1208.2782
Autor:
POPPI, FRANCA, SEZZI, ANNALISA
Publikováno v:
Lingue e Linguaggi; 2020 Special Issue, Vol. 40, p23-43, 21p