Mixed Supervised Object Detection with Robust Objectness Transfer | |
Li Y(李岩)1,2; Zhang JG(张俊格)1,2; Huang KQ(黄凯奇)1,2,4; Zhang JG(张建国)3 | |
刊名 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
2019-03 | |
卷号 | 41期号:3页码:639-653 |
关键词 | Weakly Supervised Detection Mixed Supervised Detection Robust Objectness Transfer |
英文摘要 | In this paper, we consider the problem of leveraging existing fully labeled categories to improve the weakly supervised detection (WSD) of new object categories, which we refer to as mixed supervised detection (MSD). Different from previous MSD methods that directly transfer the pre-trained object detectors from existing categories to new categories, we propose a more reasonable and robust objectness transfer approach for MSD. In our framework, we first learn domain-invariant objectness knowledge from the existing fully labeled categories. The knowledge is modeled based on invariant features that are robust to the distribution |
语种 | 英语 |
WOS记录号 | WOS:000458168800009 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23345] |
专题 | 自动化研究所_智能感知与计算研究中心 |
通讯作者 | Huang KQ(黄凯奇) |
作者单位 | 1.中国科学院自动化研究所 2.University of Chinese Academy of Sciences 3.Computing, School of Science and Engineering, Univerisity of Dundee, UK 4.CAS Center for Excellence in Brain Science and Intelligence Technology |
推荐引用方式 GB/T 7714 | Li Y,Zhang JG,Huang KQ,et al. Mixed Supervised Object Detection with Robust Objectness Transfer[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2019,41(3):639-653. |
APA | Li Y,Zhang JG,Huang KQ,&Zhang JG.(2019).Mixed Supervised Object Detection with Robust Objectness Transfer.IEEE Transactions on Pattern Analysis and Machine Intelligence,41(3),639-653. |
MLA | Li Y,et al."Mixed Supervised Object Detection with Robust Objectness Transfer".IEEE Transactions on Pattern Analysis and Machine Intelligence 41.3(2019):639-653. |
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