Depth-Aware Deep Learning Networks for Object Detection and Image Segmentation

Depth-Aware Deep Learning Networks for Object Detection and Image Segmentation

The rise of convolutional neural networks (CNNs) in the context of computer vision has occurred in tandem with the advancement of depth sensing technology. Depth cameras are capable of yielding two-dimensional arrays storing at each pixel the distance from objects and surfaces in a scene from a g...

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Bibliographic Details
Main Author: Dickens, James
Other Authors: Payeur, Pierre
Format: Others
Language:en
Published: Université d'Ottawa / University of Ottawa 2021
Subjects:
Deep learning
Computer vision
CNN
Object detection
Semantic segmentation
Instance segmentation
Multi-modal deep learning
Panoptic segmentation
Artificial intelligence
Convolutional neural networks
Neural networks
RGBD
Depth images
Online Access:http://hdl.handle.net/10393/42619
http://dx.doi.org/10.20381/ruor-26839

Internet

http://hdl.handle.net/10393/42619
http://dx.doi.org/10.20381/ruor-26839

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