Expanding Paintings Data for Object Classification via Style Transfer
Advances within computer vision are being propelled forward by deep convolutional networks and large publicly available datasets. However, for the task of object classification, the accessible datasets usually consist of natural images. Thus, when training networks for classifying objects in paintin...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255008 |