Image captioning via semantic element embedding

• Main Authors: ZHANG, Xiaodan, HE, Shengfeng, SONG, Xinhang, LAU, Rynson W.H., JIAO, Jianbin, YE, Qixiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Image captioning; Element embedding; CNN; LSTM; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7863
• Institution: Singapore Management University

Image caption approaches that use the global Convolutional Neural Network (CNN) features are not able to represent and describe all the important elements in complex scenes. In this paper, we propose to enrich the semantic representations of images and update the language model by proposing semantic...