Knowledge Commons of Institute of Automation,CAS
Color names learning using convolutional neural networks | |
Yuhang Wang; Jing Liu; Jinqiao Wang; Yong Li; Hanqing Lu | |
2015 | |
会议名称 | IEEE International Conference on Image Processing |
会议录名称 | 无 |
会议日期 | September 27-30, 2015 |
会议地点 | Quebec City, QC, Canada |
摘要 | In this paper, we propose a two-stage CNN-based framework to learn color names from web images, aiming to predict color names for tiny image patches. To deal with the noisy labels widespread in web images, we propose a self-supervised CNN (SS-CNN) model in the first stage. The SS-CNN model is trained on image patches with their own color histograms as supervision information. Thus its outputs are able to reflect the color characteristics of images without the influence of the noisy labels. In the second stage, we finetune the SS-CNN model to learn the mapping from image patches to color names, where the patch labels are inherited from its father images. Besides, sample selection is imported iteratively in turns with the finetuning process, which helps filtering out some noisy samples and further improves the model accuracy. Our model shows high representation ability to colors and achieves better performance of color naming compared with the state-of-the-art methods. |
关键词 | Self-supervised Cnn Color Naming |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13442 |
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 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yuhang Wang,Jing Liu,Jinqiao Wang,et al. Color names learning using convolutional neural networks[C],2015. |
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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 | ||
Color Names Learning(1054KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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