Northwestern University

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Filtering by: Keyword visual recognition Subject Electrical engineering

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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