Many heads but one brain: fusionbrain - a single multimodal multitask architecture and a competition

Many heads but one brain: fusionbrain - a single multimodal multitask architecture and a competition

Автор: Bakshandaeva Daria Dmitrievna, Dimitrov Denis Valerievich, Arkhipkin Vladimir Sergeyevich, Shonenkov Alex Vladimirovich, Potanin Mark Stanislavovich, Karachev Denis Konstantinovich, Kuznetsov Andrey Vladimirovich, Voronov Anton Dmitrievich, Petiushko Aleksandr Alexandrovich, Davydova Vera Fedorovna, Tutubalina Elena Viktorovna

Журнал: Компьютерная оптика @computer-optics

Рубрика: Численные методы и анализ данных

Статья в выпуске: 1 т.47, 2023 года.

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Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts, and code) and solve multiple tasks for vision and language. The FusionBrain Challenge combines the following specific tasks: Code2code Translation, Handwritten Text recognition, Zero-shot Object Detection, and Visual Question Answering. We have created datasets for each task to test the participants' submissions on it. Moreover, we have collected and made publicly available a new handwritten dataset in both English and Russian, which consists of 94,128 pairs of images and texts. We also propose a multimodal and multitask architecture - a baseline solution, in the centre of which is a frozen foundation model and which has been trained in Fusion mode along with Single-task mode. The proposed Fusion approach proves to be competitive and more energy-efficient compared to the task-specific one.

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Multimodality, multi-task, bilinguality, foundation models, fusionbrain challenge

Короткий адрес: https://sciup.org/140296257

IDR: 140296257   |   DOI: 10.18287/2412-6179-CO-1220

Список литературы Many heads but one brain: fusionbrain - a single multimodal multitask architecture and a competition

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