Conditional Embedding Pre-Training Language Model for Image Captioning

Author:

Li Pengfei,Zhang MinORCID,Lin Peijie,Wan Jian,Jiang Ming

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference56 articles.

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2. Xu K, Ba JL, Kiros R, Cho K, Courville AC, Salakhudinov R, Zemel R, Bengio Y (2015) Show, attend and tell: Neural image caption generation with visual attention, In: Proceedings of the 32nd international conference on machine learning, pp 2048–2057

3. Anderson P, He X, Buehler C, Teney D, Johnson M, Gould S, Zhang L (2018) Bottom-up and top-down attention for image captioning and visual question answering, In: 2018 IEEE conference on computer vision and pattern recognition, pp 6077–6086

4. Mathews AP, Xie L, He X (2016) Senticap: Generating image descriptions with sentiments, In: Proceedings of the 30th AAAI conference on artificial intelligence, pp 3574-3580

5. Devlin J, Chang M-W, Lee K, Toutanova K (2019) Bert: Pre-training of deep bidirectional transformers for language understanding, In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics, pp 4171-4186

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