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pro vyhledávání: '"Kaneda, Kanta"'
Establishing an automatic evaluation metric that closely aligns with human judgments is essential for effectively developing image captioning models. Recent data-driven metrics have demonstrated a stronger correlation with human judgments than classi
Externí odkaz:
http://arxiv.org/abs/2402.18091
Domestic service robots offer a solution to the increasing demand for daily care and support. A human-in-the-loop approach that combines automation and operator intervention is considered to be a realistic approach to their use in society. Therefore,
Externí odkaz:
http://arxiv.org/abs/2312.15844
Autor:
Kaneda, Kanta, Korekata, Ryosuke, Wada, Yuiga, Nagashima, Shunya, Kambara, Motonari, Iioka, Yui, Matsuo, Haruka, Imai, Yuto, Nishimura, Takayuki, Sugiura, Komei
This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task. To address this task, we propose DialMAT. DialMAT introduces Moment-based Adversarial
Externí odkaz:
http://arxiv.org/abs/2311.06855
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models
Image captioning studies heavily rely on automatic evaluation metrics such as BLEU and METEOR. However, such n-gram-based metrics have been shown to correlate poorly with human evaluation, leading to the proposal of alternative metrics such as SPICE
Externí odkaz:
http://arxiv.org/abs/2311.04192
Akademický článek
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