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ZERO-SHOT OBJECT DETECTION METHOD COMPARISON AND ANALYSIS

Che, Peining
http://rave.ohiolink.edu/etdc/view?acc_num=miami1567160037757546

Abstract Details

2019, Master of Computer Science, Miami University, Computer Science and Software Engineering.
Object detection is a popular research domain, however, it is a challenge to annotate imagery for object detection as each object within an image must be identified. We focus on an approach for object detection that allows classifiers to use less annotated data, called Zero- shot Detection (ZSD). The aim is to build an object detector that is trained on one set of classes (e.g., for which we have annotations), and that also performs well on novel categories of objects that were not annotated in its training set. Several recent studies have tackled Zero-shot Learning (ZSL) for image classification problems, but ZSD is more challenging. This thesis evaluates recently reported ZSD approaches in order to understand and explain where ZSD can be successful in an object detection framework. From our experiments, we show ZSD models are variant after training and perform differently on the same detection task. We also find the quantitative results cannot be the only factor that measures the success of the detection model because the visual outputs are also important.
John Femiani (Advisor)
Karen Davis (Committee Member)
Vijayalakshmi Ramasamy (Committee Member)
58 p.
Computer Science
zero-shot detection, CNN, object detection

Recommended Citations

Citations

  • Che, P. (2019). ZERO-SHOT OBJECT DETECTION METHOD COMPARISON AND ANALYSIS [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1567160037757546

    APA Style (7th edition)

  • Che, Peining. ZERO-SHOT OBJECT DETECTION METHOD COMPARISON AND ANALYSIS. 2019. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1567160037757546.

    MLA Style (8th edition)

  • Che, Peining. "ZERO-SHOT OBJECT DETECTION METHOD COMPARISON AND ANALYSIS." Master's thesis, Miami University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1567160037757546

    Chicago Manual of Style (17th edition)

miami1567160037757546
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© 2019, some rights reserved.Creative Commons License ZERO-SHOT OBJECT DETECTION METHOD COMPARISON AND ANALYSIS by Peining Che is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Miami University and OhioLINK.