Deep Learning Models for Context-Aware Object Detection
In this thesis, we present ContextNet, a novel general object detection framework for incorporating context cues into a detection pipeline. Current deep learning methods for object detection exploit state-of-the-art image recognition networks for classifying the given region-of-interest (ROI) to pre...
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/88387 |