Global-Attention-Based Neural Networks for Vision Language Intelligence

doi:10.1109/JAS.2020.1003402

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Global-Attention-Based Neural Networks for Vision Language Intelligence
	Pei Liu; Yingjie Zhou; Dezhong Peng; Dapeng Wu
刊名	IEEE/CAA Journal of Automatica Sinica
	2021
卷号	8 期号:7 页码:1243-1252
关键词	Global attention image captioning latent contribution
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003402
英文摘要	In this paper, we develop a novel global-attention-based neural network (GANN) for vision language intelligence, specifically, image captioning (language description of a given image). As many previous works, the encoder-decoder framework is adopted in our proposed model, in which the encoder is responsible for encoding the region proposal features and extracting global caption feature based on a specially designed module of predicting the caption objects, and the decoder generates captions by taking the obtained global caption feature along with the encoded visual features as inputs for each attention head of the decoder layer. The global caption feature is introduced for the purpose of exploring the latent contributions of region proposals for image captioning, and further helping the decoder better focus on the most relevant proposals so as to extract more accurate visual feature in each time step of caption generation. Our GANN is implemented by incorporating the global caption feature into the attention weight calculation phase in the word predication process in each head of the decoder layer. In our experiments, we qualitatively analyzed the proposed model, and quantitatively evaluated several state-of-the-art schemes with GANN on the MS-COCO dataset. Experimental results demonstrate the effectiveness of the proposed global attention mechanism for image captioning.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44579]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Pei Liu,Yingjie Zhou,Dezhong Peng,et al. Global-Attention-Based Neural Networks for Vision Language Intelligence[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(7):1243-1252.
APA	Pei Liu,Yingjie Zhou,Dezhong Peng,&Dapeng Wu.(2021).Global-Attention-Based Neural Networks for Vision Language Intelligence.IEEE/CAA Journal of Automatica Sinica,8(7),1243-1252.
MLA	Pei Liu,et al."Global-Attention-Based Neural Networks for Vision Language Intelligence".IEEE/CAA Journal of Automatica Sinica 8.7(2021):1243-1252.