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Visual concept conjunction learning with recurrent neural networks
Liang, Kongming1,2; Chang, Hong1; Shan, Shiguang1; Chen, Xilin1,2
2020-06-28
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号395页码:229-236
摘要Learning the conjunction of multiple visual concepts shows practical significance in various real world applications (e.g. multi-attribute image retrieval and visual relationship detection). In this paper, we propose Concept Conjunction Recurrent Neural Network ((CRNN)-R-2) to tackle this problem. With our model, visual concepts involved in a conjunction are mapped into the hidden units and combined in a recurrent way to generate the representation of the concept conjunction, which is then used to compute a concept conjunction classifier as the output. We also present an order invariant version of the proposed method based on attention mechanism to learn the tasks without pre-defined concept order. To tackle concept conjunction learning from multiple semantic domains, we introduce a multiplicative framework to learn the joint representation. Experimental results on multi-attribute image retrieval and visual relationship detection show that our method achieves significantly better performance than other related methods on various datasets. (C) 2019 Published by Elsevier B.V.
关键词Attribute learning Concept conjunction Visual relationship detection Image retrieval
DOI10.1016/j.neucom.2017.12.068
收录类别SCI
语种英语
资助项目973 Program[2015CB351802] ; Natural Science Foundation of China[61390515]
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000536809500005
出版者ELSEVIER
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/15282
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chang, Hong
作者单位1.Chinese Acad Sci, Inst Comp Technol, CAS, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Liang, Kongming,Chang, Hong,Shan, Shiguang,et al. Visual concept conjunction learning with recurrent neural networks[J]. NEUROCOMPUTING,2020,395:229-236.
APA Liang, Kongming,Chang, Hong,Shan, Shiguang,&Chen, Xilin.(2020).Visual concept conjunction learning with recurrent neural networks.NEUROCOMPUTING,395,229-236.
MLA Liang, Kongming,et al."Visual concept conjunction learning with recurrent neural networks".NEUROCOMPUTING 395(2020):229-236.
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