Deep Hierarchical Encoder-Decoder Network for Image Captioning

Encoder-decoder models have been widely used in image captioning, and most of them are designed via single long short term memory (LSTM). The capacity of single-layer network, whose encoder and decoder are integrated together, is limited for such a complex task of image captioning. Moreover, how to...

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Bibliographic Details
Published in:	IEEE transactions on multimedia Vol. 21; no. 11; pp. 2942 - 2956
Main Authors:	Xiao, Xinyu, Wang, Lingfeng, Ding, Kun, Xiang, Shiming, Pan, Chunhong
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coders Computer architecture Decoding Deep hierarchical structure encoder–decoder Hidden Markov models image captioning Image enhancement Level (quantity) Logic gates LSTM Modules Optimization Qualitative analysis Representations retrieval Semantics Structural hierarchy Training vision-sentence Visualization
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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