Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment
文献类型：期刊论文
| 作者 | Ke Chen; Zhaoxiang Zhang
|
| 刊名 | IEEE Transactions on Big Data
 |
| 出版日期 | 2016-08-25 |
| 卷号 | PP期号:99页码:2332-7790 |
| 关键词 | Fine-grained Categorisation Cost-sensitive Learning Deep Feature Visual-semantic Alignment Multiclass Classification |
| 英文摘要 | Image categorisation is an active yet challenging research topic in computer vision, which is to classify the images according to their semantic content. Recently, fine-grained object categorisation has attracted wide attention and remains difficult due to feature inconsistency caused by smaller inter-class and larger intra-class variation as well as large varying poses. Most of the existing frameworks focused on exploiting a more discriminative imagery representation or developing a more robust classification framework to mitigate the suffering. The concern has recently been paid to discovering the dependency across fine-grained class labels based on Convolutional Neural Networks. Encouraged by the success of semantic label embedding to discover the fine-grained class labels’ correlation, this paper exploits the misalignment between visual feature space and semantic label embedding space and incorporates it as a privileged information into a cost-sensitive learning framework. Owing to capturing both the variation of imagery feature representation and also the label correlation in the semantic label embedding space, such a visual-semantic misalignment can be employed to reflect the importance of instances, which is more informative that conventional cost-sensitivities. Experiment results demonstrate the effectiveness of the proposed framework on public fine-grained benchmarks with achieving superior performance to state-of-the-arts. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14033]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Ke Chen,Zhaoxiang Zhang. Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment[J]. IEEE Transactions on Big Data,2016,PP(99):2332-7790. |
| APA | Ke Chen,&Zhaoxiang Zhang.(2016).Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment.IEEE Transactions on Big Data,PP(99),2332-7790. |
| MLA | Ke Chen,et al."Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment".IEEE Transactions on Big Data PP.99(2016):2332-7790. |
入库方式： OAI收割
来源：自动化研究所
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