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Ni, Minheng; Huang, Haoyang; Su, Lin; Cui, Edward; Bharti, Taroon; Wang, Lijuan; Zhang, Dongdong; Duan, Nan
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021-JuneConference Proceeding
We present M 3 P, a Multitask Multilingual Multimodal Pre-trained model that combines multilingual pre-training and multimodal pre-training into a unified framework via multitask pre-training. Our goal is to learn universal representations that can map objects occurred in different modalities or texts expressed in different languages into a common semantic space. In addition, to explicitly encourage fine-grained alignment between images and non-English languages, we also propose Multimodal Code-switched Training (MCT) to combine monolingual pre-training and multimodal pre-training via a code-switch strategy. Experiments are performed on the multilingual image retrieval task across two benchmark datasets, including MSCOCO and Multi30K. M 3 P can achieve comparable results for English and new state-of-the-art results for non-English languages.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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