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Adaptive spatial pooling for image classification
Liu, Yinglu1; Zhang, Yan-Ming1; Zhang, Xu-Yao1; Liu, Cheng-Lin1,2
Source PublicationPATTERN RECOGNITION
2016-07-01
Volume55Pages:58-67
SubtypeArticle
AbstractIn this paper, we propose an adaptive spatial pooling method for enhancing the discriminability of feature representation for image classification. The core idea is to adopt a spatial distribution matrix to define how the image patches are pooled together. By formulating the pooling distribution learning and classifier training jointly, our method can extract multiple spatial layouts of arbitrary shapes rather than regular rectangular regions. By proper mathematical transformation, the distributions can be learned via a boosting-like algorithm, which improves the efficiency of learning especially for large distribution matrices. Further, our method allows category-specific pooling operations to take advantage of the different spatial layouts of different categories. Experimental results on three benchmark datasets UIUC-Sports, 21-Land-Use and Scene 15 demonstrate the effectiveness of our method. (C) 2016 Elsevier Ltd. All rights reserved.
KeywordWeighted Pooling Spatial Layout Distribution Matrix Image Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patcog.2016.01.030
WOS KeywordOBJECT RECOGNITION ; FEATURES ; ARCHITECTURE ; NETWORKS ; PYRAMIDS
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China (973 Program)(2012CB316302) ; National Natural Science Foundation of China(61203296) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA06040102) ; Xinjiang Uygur Autonomous Region Science and Technology Project(201230122)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000374072300005
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10834
Collection模式识别国家重点实验室_模式分析与学习
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguan East Rd, Beijing 100190, Peoples R China
2.CAS Ctr Excellence Brain Sci & Intelligence Techo, 95 Zhongguan East Rd, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yinglu,Zhang, Yan-Ming,Zhang, Xu-Yao,et al. Adaptive spatial pooling for image classification[J]. PATTERN RECOGNITION,2016,55:58-67.
APA Liu, Yinglu,Zhang, Yan-Ming,Zhang, Xu-Yao,&Liu, Cheng-Lin.(2016).Adaptive spatial pooling for image classification.PATTERN RECOGNITION,55,58-67.
MLA Liu, Yinglu,et al."Adaptive spatial pooling for image classification".PATTERN RECOGNITION 55(2016):58-67.
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