Cite
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity.
MLA
Watanabe, Yuto, et al. “Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity.” Journal of Robotics & Mechatronics, vol. 36, no. 2, Apr. 2024, pp. 353–64. EBSCOhost, https://doi.org/10.20965/jrm.2024.p0353.
APA
Watanabe, Y., Ogawa, N., Maeda, K., Ogawa, T., & Haseyama, M. (2024). Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. Journal of Robotics & Mechatronics, 36(2), 353–364. https://doi.org/10.20965/jrm.2024.p0353
Chicago
Watanabe, Yuto, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama. 2024. “Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity.” Journal of Robotics & Mechatronics 36 (2): 353–64. doi:10.20965/jrm.2024.p0353.