Domain Adaptive Computational Models for Computer Vision

Domain Adaptive Computational Models for Computer Vision

abstract: The widespread adoption of computer vision models is often constrained by the issue of domain mismatch. Models that are trained with data belonging to one distribution, perform poorly when tested with data from a different distribution. Variations in vision based data can be attributed to...

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Bibliographic Details
Other Authors: Demakethepalli Venkateswara, Hemanth (Author)
Format: Doctoral Thesis
Language:English
Published: 2017
Subjects:
Computer science
Artificial intelligence
computer vision
deep learning
domain adaptation
machine learning
transfer learning
Online Access:http://hdl.handle.net/2286/R.I.43993

Internet

http://hdl.handle.net/2286/R.I.43993

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