從Transformers學習跨模態編碼器表示《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》
目錄 一、文獻摘要介紹 二、網絡框架介紹 三、實驗分析 四、結論 一、文獻摘要介紹 Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationships between
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相關文章
- 1. LXMERT: Learning Cross-Modality Encoder Representations from Transformers 論文筆記
- 2. 論文筆記BERT: Bidirectional Encoder Representations from Transformers
- 3. BERT: Bidirectional Encoder Representations from Transformers雙向Transformer用於語言模型 NAACL 2018
- 4. [ML] Feature Transformers
- 5. Learning Distributed Representations of Sentences from...
- 6. 2014-Learning Phrase Representations using RNN Encoder–Decoder
- 7. Laravel——Transformers 轉化器
- 8. AUTOSAR Transformers轉換器
- 9. [TMI2019-02]Learning Cross-Modality Representations From Multi-Modal Images
- 10. 17種transformers