Diverse Image Captioning via GroupTalk
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2957-2963.
Abstract
Generally speaking, different persons tend to describe images from various aspects due to their individually subjective perception. As a result, generating the appropriate descriptions of images with both diversity and high quality is of great importance. In this paper, we propose a framework called GroupTalk to learn multiple image caption distributions simultaneously and effectively mimic the diversity of the image captions written by human beings. In particular, a novel iterative update strategy is proposed to separate training sentence samples into groups and learn their distributions at the same time. Furthermore, we introduce an efficient classifier to solve the problem brought about by the non-linear and discontinuous nature of language distributions which will impair performance. Experiments on several benchmark datasets show that GroupTalk naturally diversifies the generated captions of each image without sacrificing the accuracy.
@inproceedings{ijcai2016p420,
title = {Diverse Image Captioning via GroupTalk},
author = {Wang, Zhuhao and Wu, Fei and Lu, Weiming and Xiao, Jun and Li, Xi and Zhang, Zitong and Zhuang, Yueting},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {2957--2963},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/420},
}
TY - CPAPER TI - Diverse Image Captioning via GroupTalk AU - Wang, Zhuhao AU - Wu, Fei AU - Lu, Weiming AU - Xiao, Jun AU - Li, Xi AU - Zhang, Zitong AU - Zhuang, Yueting T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 2957 EP - 2963 UR - https://ijcai.org/proceedings/2016/420 ER -Copied
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