【論文閱讀】 VL-BERT: Pre-training of generic visual-linguistic representations
利用BERT聯合學習視覺和語言之間的信息。 Visual-Linguistic BERT的主幹是多模態Transformer attention 模塊，以視覺和語言嵌入特徵作爲輸入。在輸入中，每個元素要麼來自輸入句子的單詞，要麼來自輸入圖像的某個區域(RoI)，以及某些特殊元素[CLS]、[SEP]、[END]等用來消除不同的輸入格式的歧義。 不同於BERT只將語言元素作爲輸入，VL-BERT將視
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相關文章
- 1. 視覺理解論文系列(三)VL-BERT: PRE-TRAINING OF GENERIC VISUALLINGUISTIC REPRESENTATIONS
- 2. 論文閱讀：DeepWalk Online Learning of Social Representations
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- 7. Efficient Estimation of Word Representations in vector space 論文閱讀
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- 10. 【論文閱讀筆記】Cross-lingual Language Model Pretraining