Deep Learning Models for Context-Aware Object Detection

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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Bibliographic Details
Main Author: Arefiyan Khalilabad, Seyyed Mostafa
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2019
Subjects:
Context-aware Detection
Object Detection
Context Modeling
Context Extraction
Convolutional Neural Network
Computer Vision
Deep Learning
Machine Learning
Online Access:http://hdl.handle.net/10919/88387

Internet

http://hdl.handle.net/10919/88387

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