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Visual Question Answering with Explicit Reasoning

Description:

Recent encouraging advances in computer vision and natural language understanding shed light on a very interesting yet challenging task: asking and answering questions about a given image (VQA). The study of this research problem is still in its infancy. Most existing VQA methods are neural network-based (NN-based) solutions that pursue...

Keyword:

visual relation detection, graph matching, computer vision, and visual question answering

Subject:

Electrical engineering

Creator:

ZHAN, HUAYI

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

01/21/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15097 and etdadmin_upload_742604
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

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