Résumé This paper presents an overview of the fourth edition of the Medical Visual
Question Answering (VQA-Med) task at ImageCLEF 2021. VQA-Med 2021 includes a task …

Résumé This paper describes the ImageCLEFmed 2020 Concept Detection Task. After _rst
being proposed at ImageCLEF 2017, the medical task is in its 4th edition this year, as the …

Résumé ImageCLEF is a part of the Conference and Labs of the Evaluation Forum (CLEF)
initiative and presents a set of image information retrieval tasks. ImageCLEF was historically …

This paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020. In this
edition, the Lifelog challenges consist of two tasks which are Lifelog Moments Retrieval …

This paper describes our submission for the Medical Domain Visual Question Answering
Task of ImageCLEF 2020. We desert complex cross-modal fusion strategies and …

Résumé ImageCLEF is a part of the Conference and Labs of the Evaluation Forum (CLEF)
initiative and includes a variety of tasks dedicated to multimodal image information retrieval …

In this paper, we describe our contribution to the 2020 ImageCLEF Medical Domain Visual
Question Answering (VQA-Med) challenge. Our submissions scored first place on the VQA …

This paper describes the methodology of The Inception team participation at ImageCLEF
Medical 2020 tasks: Visual Question Answering (VQA) and Visual Question Generation …

This paper describes the submission of University of Tokyo for Medical Domain Visual
Question Answering (VQA-Med) task [3] at ImageCLEF 2020 [11]. The data set for the task …

This paper describes the participation of the US National Library of Medicine (NLM) in Visual
Question Answering (VQA) and Visual Question Generation (VQG) tasks of the VQA-Med …