Object detection

Results: 550



#Item
11Feature Pyramid Networks for Object Detection Tsung-Yi Lin1,2 , Piotr Doll´ar1 , Ross Girshick1 , Kaiming He1 , Bharath Hariharan1 , and Serge Belongie2 1 2

Feature Pyramid Networks for Object Detection Tsung-Yi Lin1,2 , Piotr Doll´ar1 , Ross Girshick1 , Kaiming He1 , Bharath Hariharan1 , and Serge Belongie2 1 2

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Source URL: openaccess.thecvf.com

Language: English - Date: 2017-05-30 20:42:02
    12Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection 1 Xiang , 2 Choi ,

    Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection 1 Xiang , 2 Choi ,

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    Source URL: yuxng.github.io

    Language: English - Date: 2018-07-25 18:48:24
      13Front.Comput.Sci. DOI RESEARCH ARTICLE Joint Salient Object Detection and Existence Prediction Huaizu Jiang 2 ∗

      Front.Comput.Sci. DOI RESEARCH ARTICLE Joint Salient Object Detection and Existence Prediction Huaizu Jiang 2 ∗

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      Source URL: mftp.mmcheng.net

      Language: English - Date: 2018-02-25 06:55:47
        14A Segmentation-aware Object Detection Model with Occlusion Handling Tianshi Gao1 Benjamin Packer 2 Daphne Koller2 1 Department of Electrical Engineering, Stanford University

        A Segmentation-aware Object Detection Model with Occlusion Handling Tianshi Gao1 Benjamin Packer 2 Daphne Koller2 1 Department of Electrical Engineering, Stanford University

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        Source URL: ai.stanford.edu

        Language: English - Date: 2011-05-07 13:44:38
          15Feature Extraction and Image Processing for Object Detection Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University November 14, 2018

          Feature Extraction and Image Processing for Object Detection Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University November 14, 2018

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          Source URL: shreygupta.me

          Language: English - Date: 2018-07-30 14:23:55
            16Learning Object Detection from a Small Number of Examples: the Importance of Good Features. Kobi Levi and Yair Weiss School of Computer Science and Engineering The Hebrew University of JerusalemJerusalem, Israel

            Learning Object Detection from a Small Number of Examples: the Importance of Good Features. Kobi Levi and Yair Weiss School of Computer Science and Engineering The Hebrew University of JerusalemJerusalem, Israel

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            Source URL: www.cs.huji.ac.il

            Language: English - Date: 2006-01-24 05:19:40
              17European Spatial Data Research April 2014 Change Detection in HighResolution Land Use/Land Cover Geodatabases (at Object Level) Emilio Domenech, Clément Mallet

              European Spatial Data Research April 2014 Change Detection in HighResolution Land Use/Land Cover Geodatabases (at Object Level) Emilio Domenech, Clément Mallet

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              Source URL: www.cs.nuim.ie

              - Date: 2015-02-19 17:45:22
                18Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection 1 Yu Xiang1 , Wongun Choi2 , Yuanqing Lin3 , and Silvio Savarese4

                Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection 1 Yu Xiang1 , Wongun Choi2 , Yuanqing Lin3 , and Silvio Savarese4

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                Source URL: www.nec-labs.com

                - Date: 2017-04-18 11:17:09
                  19Confidence-Rated Multiple Instance Boosting for Object Detection Karim Ali1,2 and Kate Saenko2 1 2 University of California Berkeley, Berkeley, CA, USA

                  Confidence-Rated Multiple Instance Boosting for Object Detection Karim Ali1,2 and Kate Saenko2 1 2 University of California Berkeley, Berkeley, CA, USA

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                  Source URL: www.karimali.org

                  - Date: 2014-05-15 23:42:36
                    20Robotic Object Detection: Learning to Improve the Classifiers Using Sparse Graphs for Path Planning

                    Robotic Object Detection: Learning to Improve the Classifiers Using Sparse Graphs for Path Planning

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                    Source URL: www.cs.cornell.edu

                    - Date: 2011-06-29 07:18:47