Knowledge Commons of Institute of Automation,CAS
MSCap: Multi-Style Image Captioning with Unpaired Stylized Text | |
Longteng, Guo1,4; Jing, Liu1; Peng, Yao2; Jiangwei, Li3; Hanqing, Lu1 | |
2019 | |
会议名称 | CVPR |
会议日期 | 2019.06.16 |
会议地点 | 美国长滩 |
摘要 | In this paper, we propose an adversarial learning network for the task of multi-style image captioning (MSCap) with a standard factual image caption dataset and a multistylized language corpus without paired images. How to learn a single model for multi-stylized image captioning with unpaired data is a challenging and necessary task, whereas rarely studied in previous works. The proposed framework mainly includes four contributive modules following a typical image encoder. First, a style dependent caption generator to output a sentence conditioned on an encoded image and a specified style. Second, a caption discriminator is presented to distinguish the input sentence to be real or not. The discriminator and the generator are trained in an adversarial manner to enable more natural and human-like captions. Third, a style classifier is employed to discriminate the specific style of the input sentence. Besides, a back-translation module is designed to enforce the generated stylized captions are visually grounded, with the intuition of the cycle consistency for factual caption and stylized caption. We enable an end-to-end optimization of the whole model with differentiable softmax approximation.At last, we conduct comprehensive experiments using a combined dataset containing four caption styles to demonstrate the outstanding performance of our proposed method. |
收录类别 | SCI |
七大方向——子方向分类 | 多模态智能 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44988 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Jing, Liu |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.University of Science and Technology Beijing 3.Multimedia Department, Huawei Devices 4.University of Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Longteng, Guo,Jing, Liu,Peng, Yao,et al. MSCap: Multi-Style Image Captioning with Unpaired Stylized Text[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
[CVPR 2019] MSCap Mu(914KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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