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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Unified Vision-Language Pre-Training for Image Captioning and VQA

February 1, 2023

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Authors

Luowei Zhou

University of Michigan


Hamid Palangi

Microsoft


Lei Zhang

Microsoft


Houdong Hu

Microsoft


Jason Corso

University of Michigan


Jianfeng Gao

Microsoft


DOI:

10.1609/aaai.v34i07.7005


Abstract:

This paper presents a unified Vision-Language Pre-training (VLP) model. The model is unified in that (1) it can be fine-tuned for either vision-language generation (e.g., image captioning) or understanding (e.g., visual question answering) tasks, and (2) it uses a shared multi-layer transformer network for both encoding and decoding, which differs from many existing methods where the encoder and decoder are implemented using separate models. The unified VLP model is pre-trained on a large amount of image-text pairs using the unsupervised learning objectives of two tasks: bidirectional and sequence-to-sequence (seq2seq) masked vision-language prediction. The two tasks differ solely in what context the prediction conditions on. This is controlled by utilizing specific self-attention masks for the shared transformer network. To the best of our knowledge, VLP is the first reported model that achieves state-of-the-art results on both vision-language generation and understanding tasks, as disparate as image captioning and visual question answering, across three challenging benchmark datasets: COCO Captions, Flickr30k Captions, and VQA 2.0. The code and the pre-trained models are available at https://github.com/LuoweiZhou/VLP.

Topics: AAAI

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HOW TO CITE:

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao Unified Vision-Language Pre-Training for Image Captioning and VQA Proceedings of the AAAI Conference on Artificial Intelligence (2020) 13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao Unified Vision-Language Pre-Training for Image Captioning and VQA AAAI 2020, 13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao (2020). Unified Vision-Language Pre-Training for Image Captioning and VQA. Proceedings of the AAAI Conference on Artificial Intelligence, 13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. Unified Vision-Language Pre-Training for Image Captioning and VQA. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. 2020. Unified Vision-Language Pre-Training for Image Captioning and VQA. "Proceedings of the AAAI Conference on Artificial Intelligence". 13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. (2020) "Unified Vision-Language Pre-Training for Image Captioning and VQA", Proceedings of the AAAI Conference on Artificial Intelligence, p.13041-13049

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao, "Unified Vision-Language Pre-Training for Image Captioning and VQA", AAAI, p.13041-13049, 2020.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. "Unified Vision-Language Pre-Training for Image Captioning and VQA". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. "Unified Vision-Language Pre-Training for Image Captioning and VQA". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 13041-13049.

Luowei Zhou||Hamid Palangi||Lei Zhang||Houdong Hu||Jason Corso||Jianfeng Gao. Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI[Internet]. 2020[cited 2023]; 13041-13049.


ISSN: 2374-3468


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