ImageCLEF 2020 VQA-Med - VQA

Note: ImageCLEF 2020 VQA-Med includes 2 subtasks. This page is about the Visual Question Answering (VQA) subtask. For information about the Visual Question Generation (VQG) subtask click here. Both challenges share the same dataset, so registering for one of these challenges will automatically give you access to the other one. 

Note: ImageCLEF 2020 VQA-Med task is part of the official ImageCLEF 2020 medical task. Here is a list of other ImageCLEF 2020 medical task challenges:

• https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqg
• https://www.aicrowd.com/challenges/imageclef-2020-caption-concept-detection
• https://www.aicrowd.com/challenges/imageclef-2020-tuberculosis-ct-report

Note: Please do not forget to read the Rules section on this page. Pressing the red Participate button leads you to a page where you have to agree with those rules. You will not be able to submit any results before agreeing with the rules.

Note: Before trying to submit results, please read the Submission instructions section on this page.

VQAnswering Task (VQA)

In continuation of the two previous editions, this year’s task on visual question answering (VQA) consists in answering natural language questions from the visual content of associated radiology images. This year, we will focus particularly on questions about abnormalities.

VQA Data

The datasets are available under the “Resources” tab.

• The training set: 4,000 radiology images with 4,000 associated Question-Answer (QA) pairs.
• The validation set: 500 radiology images with 500 QA pairs.
• The VQA test set: 500 radiology images with 500 associated questions. 

The VQA-Med-2019 datasets could be used as additional training data:

• https://github.com/abachaa/VQA-Med-2019

Schedule

• 25/02/2020: Release of the training and validation datasets
• 10/04/2020: Release of the test set
• June 5th, 2020: Run submission deadline

Submission instructions

• Each team is allowed to submit a maximum of 5 runs.
• We expect the following format for the result submission file: <Image-ID><|><Answer>

• For example:

  rjv03401|answer of the first question in one single line
  AIAN-14-313-g002|answer of the second question
  wjem-11-76f3|answer of the third question

As soon as the submission is open, you will find a “Create Submission” button on this page (next to the tabs).

Before being allowed to submit your results, you have to first press the red participate button, which leads you to a page where you have to accept the challenges rules.

Evaluation criteria

More information regarding the evaluation criteria will be released soon.

Rules

Note: In order to participate in this challenge you have to sign an End User Agreement (EUA). You will find more information on the ‘Resources’ tab.

ImageCLEF lab is part of the Conference and Labs of the Evaluation Forum: CLEF 2020. CLEF 2020 consists of independent peer-reviewed workshops on a broad range of challenges in the fields of multilingual and multimodal information access evaluation, and a set of benchmarking activities carried in various labs designed to test different aspects of mono and cross-language Information retrieval systems. More details about the conference can be found here .

Submitting a working note with the full description of the methods used in each run is mandatory. Any run that could not be reproduced thanks to its description in the working notes might be removed from the official publication of the results. Working notes are published within CEUR-WS proceedings, resulting in an assignment of an individual DOI (URN) and an indexing by many bibliography systems including DBLP. According to the CEUR-WS policies, a light review of the working notes will be conducted by ImageCLEF organizing committee to ensure quality. As an illustration, ImageCLEF 2019 working notes (task overviews and participant working notes) can be found within CLEF 2019 CEUR-WS proceedings.

Important

Participants of this challenge will automatically be registered at CLEF 2020. In order to be compliant with the CLEF registration requirements, please edit your profile by providing the following additional information:

First name

Last name

Affiliation

Address

City

Country

Regarding the username, please choose a name that represents your team.

This information will not be publicly visible and will be exclusively used to contact you and to send the registration data to CLEF, which is the main organizer of all CLEF labs

Participating as an individual (non affiliated) researcher

We welcome individual researchers, i.e. not affiliated to any institution, to participate. We kindly ask you to provide us with a motivation letter containing the following information:

the presentation of your most relevant research activities related to the task/tasks

your motivation for participating in the task/tasks and how you want to exploit the results

a list of the most relevant 5 publications (if applicable)

the link to your personal webpage

The motivation letter should be directly concatenated to the End User Agreement document or sent as a PDF file to bionescu at imag dot pub dot ro. The request will be analyzed by the ImageCLEF organizing committee. We reserve the right to refuse any applicants whose experience in the field is too narrow, and would therefore most likely prevent them from being able to finish the task/tasks.

Citations

Information will be posted after the challenge ends.

Publication

ImageCLEF 2020 is an evaluation campaign that is being organized as part of the CLEF initiative labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org). Selected contributions among the participants, will be invited for publication in the following year in the Springer Lecture Notes in Computer Science (LNCS) together with the annual lab overviews.

Resources

Contact us

You can find additional information on the VQA-Med website: https://www.imageclef.org/2020/medical/vqa

If you have any questions, please let us know on the VQA-Med mailing list: https://groups.google.com/d/forum/imageclef-vqa-med

Alternative channels

We strongly encourage you to use the public channels mentioned above for communications between the participants and the organizers. In extreme cases, if there are any queries or comments that you would like to make using a private communication channel, then you can send us an email at :

• asma[dot]benabacha[at]nih[dot]gov
• vivek[dot]datla[at]philips[dot]com
• sadidhasan[at]gmail[dot]com
• ddemner[at]mail[dot]nih[dot]gov
• henning[dot]mueller[at]hevs[dot]ch