Zobrazeno 1 - 3
of 3
pro vyhledávání: '"JungHyuk Im"'
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030805982
NLDB
NLDB
Recent research fields tackle high-level machine learning tasks which often deal with multiplex datasets. Image-text multimodal learning is one of the comparatively challenging domains in Natural Language Processing. In this paper, we suggest a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2573a20f1a91f8424397061e8bdc7e8a
https://doi.org/10.1007/978-3-030-80599-9_30
https://doi.org/10.1007/978-3-030-80599-9_30
Publikováno v:
RACS
Long short-term memory (LSTM) is widely used for processing time sequence data like language and human skeletal data, and its importance is continuously increasing. In particular, recent studies have shown that higher performance can be obtained by u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b8662d43d13be2975d42c75c6ffe85
https://doi.org/10.1145/3129676.3129681
https://doi.org/10.1145/3129676.3129681
Publikováno v:
ICSIPA
Multi-class multi-object tracking is an important problem for real-world applications like surveillance system, gesture recognition, and robot vision system. However, building a multi-class multi-object tracker that works in real-time is difficult du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5d37736c2b01ba4fc42881370450252
https://doi.org/10.1109/icsipa.2017.8120665
https://doi.org/10.1109/icsipa.2017.8120665