Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
This paper describes the participation of the U.S. National. Library of Medicine (NLM) in the ImageCLEF 2017 caption task. We proposed different machine ...
Sep 23, 2022 · This paper describes the participation of the U.S. National Library of Medicine (NLM) in the ImageCLEF 2017 caption task. We proposed different ...
Feb 16, 2018 · This paper describes the participation of the U.S. National Library of Medicine (NLM) in the ImageCLEF 2017 caption task.
Mar 10, 2023 · Asma Ben Abacha, Alba Garcia Seco de Herrera, Soumya Gayen, Dina Demner-Fushman, Sameer K. Antani: NLM at ImageCLEF 2017 Caption Task.
Each image is accompanied by its original caption, constituting a natural testbed for this image captioning task. News. 6.2.2017: Training data set is released.
NLM at ImageCLEF 2017 Caption Task. Type of publication: Inproceedings. Citation: AGG2017. Booktitle: CLEF 2017 working Notes. Year: 2017. Keywords: Authors ...
NLM at ImageCLEF 2017 Caption Task ; Anthology ID: DBLP:conf/clef/AbachaHGDA17; Volume: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, ...
NLM at ImageCLEF 2017 Caption Task ... This paper describes the participation of the U.S. National Library of Medicine (NLM) in the ImageCLEF 2017 caption task.
Abstract. In this paper, we describe our caption prediction and con- cept detection systems submitted for the ImageCLEF 2017 challenge.
This paper presents an overview of the ImageCLEF 2017 caption tasks on the analysis of images from the biomedical literature. Two subtasks were proposed to ...