A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation
文献类型:期刊论文
作者 | Bo Zhao1,2![]() |
刊名 | International Journal of Automation and Computing
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出版日期 | 2017 |
卷号 | 14期号:2页码:119-135 |
关键词 | Deep learning fine-grained image classi¯cation semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
ISSN号 | 1476-8186 |
DOI | 10.1007/s11633-017-1053-3 |
文献子类 | IJAC-2016-07-171.pdf |
英文摘要 | The deep learning technology has shown impressive performance in various vision tasks such as image classification, object detection and semantic segmentation. In particular, recent advances of deep learning techniques bring encouraging performance to fine-grained image classification which aims to distinguish subordinate-level categories, such as bird species or dog breeds. This task is extremely challenging due to high intra-class and low inter-class variance. In this paper, we review four types of deep learning based fine-grained image classification approaches, including the general convolutional neural networks (CNNs), part detection based, ensemble of networks based and visual attention based fine-grained image classification approaches. Besides, the deep learning based semantic segmentation approaches are also covered in this paper. The region proposal based and fully convolutional networks based approaches for semantic segmentation are introduced respectively. |
源URL | [http://ir.ia.ac.cn/handle/173211/42470] ![]() |
专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
作者单位 | 1.Department of Electrical and Computer Engineering, National University of Singapore, 117583, Singapore 2.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 613000, China |
推荐引用方式 GB/T 7714 | Bo Zhao,Jiashi Feng,Xiao Wu,et al. A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation[J]. International Journal of Automation and Computing,2017,14(2):119-135. |
APA | Bo Zhao,Jiashi Feng,Xiao Wu,&Shuicheng Yan.(2017).A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation.International Journal of Automation and Computing,14(2),119-135. |
MLA | Bo Zhao,et al."A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation".International Journal of Automation and Computing 14.2(2017):119-135. |
入库方式: OAI收割
来源:自动化研究所
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