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Filtering by: Keyword compositional Keyword computer vision Keyword visual recognition Subject Electrical engineering

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1. 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