Literature DB >> 34413932

A Course-Focused Dual Curriculum For Image Captioning.

Mohammad Alsharid1, Rasheed El-Bouri1, Harshita Sharma1, Lior Drukker2, Aris T Papageorghiou2, J Alison Noble1.   

Abstract

We propose a curriculum learning captioning method to caption fetal ultrasound images by training a model to dynamically transition between two different modalities (image and text) as training progresses. Specifically, we propose a course-focused dual curriculum method, where a course is training with a curriculum based on only one of the two modalities involved in image captioning. We compare two configurations of the course-focused dual curriculum; an image-first course-focused dual curriculum which prepares the early training batches primarily on the complexity of the image information before slowly introducing an order of batches for training based on the complexity of the text information, and a text-first course-focused dual curriculum which operates in reverse. The evaluation results show that dynamically transitioning between text and images over epochs of training improves results when compared to the scenario where both modalities are considered in equal measure in every epoch.

Entities:  

Keywords:  Image captioning; curriculum learning; fetal ultrasound; image description; meta-learning

Year:  2021        PMID: 34413932      PMCID: PMC7611521          DOI: 10.1109/ISBI48211.2021.9434055

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  5 in total

1.  Captioning Ultrasound Images Automatically.

Authors:  Mohammad Alsharid; Harshita Sharma; Lior Drukker; Pierre Chatelain; Aris T Papageorghiou; J Alison Noble
Journal:  Med Image Comput Comput Assist Interv       Date:  2019-10-10

2.  Teacher-Student Curriculum Learning.

Authors:  Tambet Matiisen; Avital Oliver; Taco Cohen; John Schulman
Journal:  IEEE Trans Neural Netw Learn Syst       Date:  2019-09-09       Impact factor: 10.451

3.  Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Authors:  Ilkay Oksuz; Bram Ruijsink; Esther Puyol-Antón; James R Clough; Gastao Cruz; Aurelien Bustin; Claudia Prieto; Rene Botnar; Daniel Rueckert; Julia A Schnabel; Andrew P King
Journal:  Med Image Anal       Date:  2019-04-22       Impact factor: 8.545

4.  A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities.

Authors:  Beomhee Park; Yongwon Cho; Gaeun Lee; Sang Min Lee; Young-Hoon Cho; Eun Sol Lee; Kyung Hee Lee; Joon Beom Seo; Namkug Kim
Journal:  Sci Rep       Date:  2019-10-25       Impact factor: 4.379

  5 in total

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