Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hung, Tun Min"'
Autor:
Suwono, Nicholas Collin, Chen, Justin Chih-Yao, Hung, Tun Min, Huang, Ting-Hao Kenneth, Liao, I-Bin, Li, Yung-Hui, Ku, Lun-Wei, Sun, Shao-Hua
This work introduces a novel task, location-aware visual question generation (LocaVQG), which aims to generate engaging questions from data relevant to a particular geographical location. Specifically, we represent such location-aware information wit
Externí odkaz:
http://arxiv.org/abs/2310.15129
Fine-grained emotion classification (FEC) is a challenging task. Specifically, FEC needs to handle subtle nuance between labels, which can be complex and confusing. Most existing models only address text classification problem in the euclidean space,
Externí odkaz:
http://arxiv.org/abs/2306.14822
This paper proposes a new benchmark task for generat-ing musical passages in the audio domain by using thedrum loops from the FreeSound Loop Dataset, which arepublicly re-distributable. Moreover, we use a larger col-lection of drum loops from Looperm
Externí odkaz:
http://arxiv.org/abs/2108.01576