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Hierarchical deep semantic representation for visual categorization
Zhang CJ(张淳杰); Li RY(李瑞英); Huang QM(黄庆明); Tian Q(田奇)
Source PublicationNeurocomputing
2017
Issue257Pages:88-96
AbstractVisual features are unsatisfactory to effectively describe the visual semantics. However, single layer based semantic modeling may be not able to cope with complicated semantic contents. In this paper, we pro- pose Hierarchical Deep Semantic Representation (H-DSR), a hierarchical framework which combines se- mantic context modeling with visual features. First, the input image is sampled with spatially fixed grids. Deep features are then extracted for each sample in particular location. Second, using pre-learned classi- fiers, a detection response map is constructed for each patch. Semantic representation is then extracted from the map, which have a sense of latent semantic context. We combine the semantic and visual repre- sentations for joint representation. Third, a hierarchical deep semantic representation is built with recur- rent reconstructions using three layers. The concatenated visual and semantic representations are used as the inputs of subsequent layers for semantic representation extraction. Finally, we verify the effectiveness of H-DSR for visual categorization on two publicly available datasets: Oxford Flowers 17 and UIUC-Sports. Improved performances are obtained over many baseline methods.
KeywordSemantic Representation Visual Categorization Image Representation
WOS IDWOS:000404319800010
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15395
Collection类脑智能研究中心
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.School of Computer and Control Engineering, University of Chinese Academy of Sciences
3.Key Lab of Intell. Info. Process, Institute of Computing Technology, Chinese Academy of Sciences
4.Department of Computer Sciences, University of Texas at San Antonio,
Recommended Citation
GB/T 7714
Zhang CJ,Li RY,Huang QM,et al. Hierarchical deep semantic representation for visual categorization[J]. Neurocomputing,2017(257):88-96.
APA Zhang CJ,Li RY,Huang QM,&Tian Q.(2017).Hierarchical deep semantic representation for visual categorization.Neurocomputing(257),88-96.
MLA Zhang CJ,et al."Hierarchical deep semantic representation for visual categorization".Neurocomputing .257(2017):88-96.
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