Real-Time Instance and Semantic Segmentation Using Deep Learning
In this thesis, we explore the use of Convolutional Neural Networks for semantic and instance segmentation, with a focus on studying the application of existing methods with cheaper neural networks. We modify a fast object detection architecture for the instance segmentation task, and study the conc...
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| Format: | Others |
| Language: | en |
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Université d'Ottawa / University of Ottawa
2020
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| Online Access: | http://hdl.handle.net/10393/40616 http://dx.doi.org/10.20381/ruor-24844 |