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You searched for subject:(object proposal). Showing records 1 – 5 of 5 total matches.

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Australian National University

1. Zhang, Haoyang. Learning to Generate and Refine Object Proposals .

Degree: 2018, Australian National University

 Visual object recognition is a fundamental and challenging problem in computer vision. To build a practical recognition system, one is first confronted with high computation… (more)

Subjects/Keywords: object proposal; object candidate; object detection; object instance segmentation; convolutional neural network (CNN)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, H. (2018). Learning to Generate and Refine Object Proposals . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/143520

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Haoyang. “Learning to Generate and Refine Object Proposals .” 2018. Thesis, Australian National University. Accessed September 19, 2019. http://hdl.handle.net/1885/143520.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Haoyang. “Learning to Generate and Refine Object Proposals .” 2018. Web. 19 Sep 2019.

Vancouver:

Zhang H. Learning to Generate and Refine Object Proposals . [Internet] [Thesis]. Australian National University; 2018. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1885/143520.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang H. Learning to Generate and Refine Object Proposals . [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/143520

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Paganucci, Laura Emond. Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects.

Degree: PhD, English, 2016, Old Dominion University

  Funding agencies are increasingly soliciting proposals that require interdisciplinary and collaborative solutions for a scientific issue. The development of these research proposals is challenging… (more)

Subjects/Keywords: Boundary object; Funding process; Interdisciplinary; Negotiation; Research proposal; Team science; Communication; Rhetoric

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paganucci, L. E. (2016). Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781339808987 ; https://digitalcommons.odu.edu/english_etds/16

Chicago Manual of Style (16th Edition):

Paganucci, Laura Emond. “Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects.” 2016. Doctoral Dissertation, Old Dominion University. Accessed September 19, 2019. 9781339808987 ; https://digitalcommons.odu.edu/english_etds/16.

MLA Handbook (7th Edition):

Paganucci, Laura Emond. “Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects.” 2016. Web. 19 Sep 2019.

Vancouver:

Paganucci LE. Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects. [Internet] [Doctoral dissertation]. Old Dominion University; 2016. [cited 2019 Sep 19]. Available from: 9781339808987 ; https://digitalcommons.odu.edu/english_etds/16.

Council of Science Editors:

Paganucci LE. Collaborative Development of an Interdisciplinary Scientific Research Proposal: Negotiation through Boundary Objects. [Doctoral Dissertation]. Old Dominion University; 2016. Available from: 9781339808987 ; https://digitalcommons.odu.edu/english_etds/16


Arizona State University

3. Kotamraju, Sai Prajwal. Performance Evaluation of Object Proposal Generators for Salient Object Detection.

Degree: Electrical Engineering, 2019, Arizona State University

Subjects/Keywords: Electrical engineering; Computer science; Image Saliency; Object Detection; Object Proposal Generation; Salient Object Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kotamraju, S. P. (2019). Performance Evaluation of Object Proposal Generators for Salient Object Detection. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/53489

Chicago Manual of Style (16th Edition):

Kotamraju, Sai Prajwal. “Performance Evaluation of Object Proposal Generators for Salient Object Detection.” 2019. Masters Thesis, Arizona State University. Accessed September 19, 2019. http://repository.asu.edu/items/53489.

MLA Handbook (7th Edition):

Kotamraju, Sai Prajwal. “Performance Evaluation of Object Proposal Generators for Salient Object Detection.” 2019. Web. 19 Sep 2019.

Vancouver:

Kotamraju SP. Performance Evaluation of Object Proposal Generators for Salient Object Detection. [Internet] [Masters thesis]. Arizona State University; 2019. [cited 2019 Sep 19]. Available from: http://repository.asu.edu/items/53489.

Council of Science Editors:

Kotamraju SP. Performance Evaluation of Object Proposal Generators for Salient Object Detection. [Masters Thesis]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/53489


KTH

4. Grossman, Mikael. Proposal networks in object detection.

Degree: Mathematical Statistics, 2019, KTH

Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to… (more)

Subjects/Keywords: Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artificial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grossman, M. (2019). Proposal networks in object detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Thesis, KTH. Accessed September 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Web. 19 Sep 2019.

Vancouver:

Grossman M. Proposal networks in object detection. [Internet] [Thesis]. KTH; 2019. [cited 2019 Sep 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grossman M. Proposal networks in object detection. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Hua, Yang. Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning.

Degree: Docteur es, Mathématiques et Informatique, 2016, Grenoble Alpes

Cette dissertation traite du problème du suivi d'objets visuels, dont le but est de localiser un objet et de déterminer sa trajectoire au cours du… (more)

Subjects/Keywords: Suivi d'objet visuel; Suivi par détection; Suivi par proposition-Sélection; Suivi à long terme; Traitement des occlusions; Analyse vidéo; Visual object tracking; Tracking-By-Detection; Proposal-Selection tracking; Long-Term tracking; Occlusion reasoning; Video analysis; 510; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hua, Y. (2016). Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2016GREAM012

Chicago Manual of Style (16th Edition):

Hua, Yang. “Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning.” 2016. Doctoral Dissertation, Grenoble Alpes. Accessed September 19, 2019. http://www.theses.fr/2016GREAM012.

MLA Handbook (7th Edition):

Hua, Yang. “Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning.” 2016. Web. 19 Sep 2019.

Vancouver:

Hua Y. Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2016. [cited 2019 Sep 19]. Available from: http://www.theses.fr/2016GREAM012.

Council of Science Editors:

Hua Y. Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions : Towards robust visual object tracking : proposal selection and occlusion reasoning. [Doctoral Dissertation]. Grenoble Alpes; 2016. Available from: http://www.theses.fr/2016GREAM012

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