Fast online incremental approach of unseen place classification using disjoint-text attribute prediction
A new approach of unseen place classification in a commercial district is presented. It can classify input scenes into the correct place classes without the needs for sample images of places for training. The number of place classes and their definition are supervised by humans using text informatio...
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Main Authors: | Rapeeporn Pimup, Aram Kawewong, Osamu Hasegawa |
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Format: | Conference Proceeding |
Published: |
2018
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875848696&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51502 |
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Institution: | Chiang Mai University |
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