Object recognition

Results: 1078



#Item
21arXiv:1407.1610v2 [cs.CV] 22 SepAnalyzing the Performance of Multilayer Neural Networks for Object Recognition 1

arXiv:1407.1610v2 [cs.CV] 22 SepAnalyzing the Performance of Multilayer Neural Networks for Object Recognition 1

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Source URL: arxiv.org

Language: English - Date: 2014-09-22 21:34:55
    22A Fast Data Collection and Augmentation Procedure for Object Recognition Benjamin Sapp and Ashutosh Saxena and Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305 {bensapp,asaxena,ang}@cs.st

    A Fast Data Collection and Augmentation Procedure for Object Recognition Benjamin Sapp and Ashutosh Saxena and Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305 {bensapp,asaxena,ang}@cs.st

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    Source URL: ai.stanford.edu

    Language: English - Date: 2008-04-10 02:00:42
      23Probabilistic Coarse-To-Fine Object Recognition No Author Given No Institute Given Abstract. A coarse-to-fine probabilistic model for objects in images is presented. We build upon the framework introduced in [1, 2], whe

      Probabilistic Coarse-To-Fine Object Recognition No Author Given No Institute Given Abstract. A coarse-to-fine probabilistic model for objects in images is presented. We build upon the framework introduced in [1, 2], whe

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      Source URL: www.vision.caltech.edu

      Language: English - Date: 2016-12-13 08:54:00
        24Dataset Issues in Object Recognition J. Ponce1,2 , T.L. Berg3 , M. Everingham4 , D.A. Forsyth1 , M. Hebert5 , S. Lazebnik1 , M. Marszalek6, C. Schmid6 , B.C. Russell7 , A. Torralba7, C.K.I. Williams8 , J. Zhang6 , and A.

        Dataset Issues in Object Recognition J. Ponce1,2 , T.L. Berg3 , M. Everingham4 , D.A. Forsyth1 , M. Hebert5 , S. Lazebnik1 , M. Marszalek6, C. Schmid6 , B.C. Russell7 , A. Torralba7, C.K.I. Williams8 , J. Zhang6 , and A.

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        Source URL: www-cvr.ai.uiuc.edu

        Language: English - Date: 2006-07-31 22:12:01
          25ROTATION-INVARIANT OBJECT RECOGNITION USING EDGE PROFILE CLUSTERS Ryan Anderson, Nick Kingsbury, and Julien Fauqueur University of Cambridge Signal Processing Group, Dept. of Engineering University of Cambridge, UK

          ROTATION-INVARIANT OBJECT RECOGNITION USING EDGE PROFILE CLUSTERS Ryan Anderson, Nick Kingsbury, and Julien Fauqueur University of Cambridge Signal Processing Group, Dept. of Engineering University of Cambridge, UK

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          Source URL: sigproc.eng.cam.ac.uk

          Language: English - Date: 2013-08-05 16:01:04
            26Study Group “Image Object Recognition” WSType Schedule / Room ¨ by arrangement / seminar room of

            Study Group “Image Object Recognition” WSType Schedule / Room ¨ by arrangement / seminar room of

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            Source URL: www-i6.informatik.rwth-aachen.de

            - Date: 2013-09-19 14:30:15
              27Noname manuscript No. (will be inserted by the editor) Fine-Grained Object Recognition in Underwater Visual Data C. Spampinato · S. Palazzo · P.H. Joalland ·

              Noname manuscript No. (will be inserted by the editor) Fine-Grained Object Recognition in Underwater Visual Data C. Spampinato · S. Palazzo · P.H. Joalland ·

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              Source URL: sis.univ-tln.fr

              Language: English - Date: 2015-04-06 10:18:31
                283D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints Fred Rothganger () Svetlana Lazebnik () Department of Computer Scienc

                3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints Fred Rothganger () Svetlana Lazebnik () Department of Computer Scienc

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                Source URL: www-cvr.ai.uiuc.edu

                Language: English - Date: 2005-03-18 10:54:10
                  29Study Group “Image Object Recognition” SS 2017 Type Ü2

                  Study Group “Image Object Recognition” SS 2017 Type Ü2

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                  Source URL: www-i6.informatik.rwth-aachen.de

                  - Date: 2017-03-16 11:36:55
                    303D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints Fred Rothganger () Svetlana Lazebnik () Department of Computer Scienc

                    3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints Fred Rothganger () Svetlana Lazebnik () Department of Computer Scienc

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                    Source URL: slazebni.cs.illinois.edu

                    Language: English - Date: 2010-12-17 17:24:14