Document Type
Article
Disciplines
3. MEDICAL AND HEALTH SCIENCES, Ophthalmology
Abstract
Current image captioning models produce fluent captions, but they rely on a one-size-fits-all approach that does not take into account the preferences of individual end-users. We present a method to generate descriptions with an adjustable amount of content that can be set at inference-time, thus providing a step toward a more user centered approach to image captioning.
DOI
https://doi.org/10.1155/2023/2209496
Recommended Citation
Gyawali, Parash; Jnawali, Ashutosh; Kharal, Anish; Subedi, Manish; Kandel, Sandeep; Raj Puri, Prajjol; and Paudel, Nabin, "SubFoveal Choroidal Imaging in High Myopic Nepalese Cohort" (2023). Articles. 193.
https://arrow.tudublin.ie/scschphyart/193
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Publication Details
https://www.hindawi.com/journals/joph/2023/2209496/
Gyawali, P., Jnawali, A. & Kharal, A. (2023). SubFoveal Choroidal Imaging in High Myopic Nepalese Cohort. Journal of Ophthalmology, 2023, no. 6, pg. 1-9.
https://doi.org/10.1155/2023/2209496