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Unified Compositional Models for Visual Recognition

Description:

A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...

Keyword:

visual recognition, deep learning, computer vision, and compositional

Subject:

Electrical engineering and Computer science

Creator:

Tang, Wei

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_670616 and http://dissertations.umi.com/northwestern:14725
Image Colorization with Convolutional Neural Networks

Description:

Image colorization is the process of artificially coloring a black and white image such that this fabrication appears realistic and authentic to the viewer. There are many nontrivial applications of this process, such as the colorization and augmentation of historical photos as well as the removal of color tone filters...

Keyword:

machine learning, deep learning, image colorization, computer vision, and convolutional neural networks

Creator:

Div Dasani

Owner:

Scholarly Digital Publishing

Date Uploaded:

06/03/2019

Date Modified:

06/03/2019

Date Created:

3/23/2019

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