Object recognition

Results: 1078



#Item
31Sub-linear Indexing for Large Scale Object Recognition ˇ ep´an Obdrˇza´ lek and Jiˇr´ı Matas Stˇ Center for Machine Perception, Czech Technical University Prague

Sub-linear Indexing for Large Scale Object Recognition ˇ ep´an Obdrˇza´ lek and Jiˇr´ı Matas Stˇ Center for Machine Perception, Czech Technical University Prague

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Source URL: cmp.felk.cvut.cz

Language: English - Date: 2005-07-26 04:13:12
    32ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas and Silvio Savarese Stanford University ❖ Database C

    ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas and Silvio Savarese Stanford University ❖ Database C

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    Source URL: yuxng.github.io

    Language: English - Date: 2018-07-25 18:48:24
      33ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, and Silvio Savarese Stanford University

      ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, and Silvio Savarese Stanford University

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      Source URL: cvgl.stanford.edu

      - Date: 2016-08-03 14:32:58
        34Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem

        Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem

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        Source URL: www.maths.lth.se

        - Date: 2013-02-05 06:53:54
          35Quantifying the Energy Efficiency of Object Recognition and Optical Flow Michael Anderson, Forrest Iandola, Kurt Keutzer UC Berkeley ASPIRE Lab March 27, 2014

          Quantifying the Energy Efficiency of Object Recognition and Optical Flow Michael Anderson, Forrest Iandola, Kurt Keutzer UC Berkeley ASPIRE Lab March 27, 2014

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          Source URL: www.forrestiandola.com

          - Date: 2014-12-27 01:49:34
            36arXiv:1612.07310v1 [cs.CV] 15 DecBeyond Holistic Object Recognition: Enriching Image Understanding with Part States Cewu Lu⋆ , Hao Su∗ , Yongyi Lu+ , Li Yi∗ , Chi-Keung Tang+ , Leonidas Guibas∗ ∗ Stanfor

            arXiv:1612.07310v1 [cs.CV] 15 DecBeyond Holistic Object Recognition: Enriching Image Understanding with Part States Cewu Lu⋆ , Hao Su∗ , Yongyi Lu+ , Li Yi∗ , Chi-Keung Tang+ , Leonidas Guibas∗ ∗ Stanfor

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            Source URL: arxiv.org

            - Date: 2016-12-21 20:21:18
              37Emotions Recommended grade: 6. Object of activity: Recognition of the names and types of emotions Target language: Sad, depressed, bored, jealous, furious, disgusted, angry, happy, infatuated, confident

              Emotions Recommended grade: 6. Object of activity: Recognition of the names and types of emotions Target language: Sad, depressed, bored, jealous, furious, disgusted, angry, happy, infatuated, confident

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              Source URL: www.english-plus.cz

              - Date: 2011-04-08 06:16:24
                38Object Recognition in the Geometric Era: a Retrospective Joseph L. Mundy Division of Engineering, Brown University Providence, Rhode Island

                Object Recognition in the Geometric Era: a Retrospective Joseph L. Mundy Division of Engineering, Brown University Providence, Rhode Island

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                Source URL: www.di.ens.fr

                - Date: 2006-09-11 10:04:02
                  39Discriminative Orderlet Mining For Real-time Recognition of Human-Object Interaction Gang Yu1? , Zicheng Liu2 , Junsong Yuan1 1 School of Electrical and Electronic Engineering,

                  Discriminative Orderlet Mining For Real-time Recognition of Human-Object Interaction Gang Yu1? , Zicheng Liu2 , Junsong Yuan1 1 School of Electrical and Electronic Engineering,

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                  Source URL: dl.dropboxusercontent.com

                    40WANG et al.: LEARNING OBJECT RECOGNITION FROM DESCRIPTIONS 1 Learning Models for Object Recognition from Natural Language Descriptions

                    WANG et al.: LEARNING OBJECT RECOGNITION FROM DESCRIPTIONS 1 Learning Models for Object Recognition from Natural Language Descriptions

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                    Source URL: www.josiahwang.com

                    - Date: 2009-08-13 16:37:59