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University of Waterloo

1. Angus, Matt. Towards Pixel-Level OOD Detection for Semantic Segmentation.

Degree: 2019, University of Waterloo

There exists wide research surrounding the detection of out of distribution sample for image classification. Safety critical applications, such as autonomous driving, would benefit from the ability to localise the unusual objects causing an image to be out of distribution. This thesis adapts state-of-the-art methods for detecting out of distribution images for image classification to the new task of detecting out of distribution pixels, which can localise the unusual objects. It further experimentally compares the adapted methods to a new dataset derived from existing semantic segmentation datasets, proposing a new metric for the task. The evaluation shows that the performance ranking of the compared methods successfully transfers to the new task.

Subjects/Keywords: Semantic Segmentation; Out of Distribution Detection; Deep Learning; Convolutional Neural Networks

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

APA (6th Edition):

Angus, M. (2019). Towards Pixel-Level OOD Detection for Semantic Segmentation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15004

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):

Angus, Matt. “Towards Pixel-Level OOD Detection for Semantic Segmentation.” 2019. Thesis, University of Waterloo. Accessed September 19, 2019. http://hdl.handle.net/10012/15004.

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

MLA Handbook (7th Edition):

Angus, Matt. “Towards Pixel-Level OOD Detection for Semantic Segmentation.” 2019. Web. 19 Sep 2019.

Vancouver:

Angus M. Towards Pixel-Level OOD Detection for Semantic Segmentation. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10012/15004.

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

Council of Science Editors:

Angus M. Towards Pixel-Level OOD Detection for Semantic Segmentation. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15004

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

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