- 专利标题： LEARNING METHOD AND LEARNING DEVICE FOR STRATEGIC TRANSFORMING RGB TRAINING IMAGE SETS INTO NON-RGB TRAINING IMAGE SETS, TO BE USED FOR LEARNING OBJECT DETECTION ON OBJECTS OF IMAGES IN NON-RGB FORMAT, BY USING CYCLE GAN, RESULTING IN SIGNIFICANTLY REDUCING COMPUTATIONAL LOAD AND REUSING DATA
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申请号： EP20151442.9申请日： 2020-01-13
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公开(公告)号： EP3690737A1公开(公告)日： 2020-08-05
- 发明人: KIM, Kye-Hyeon , KIM, Yongjoong , KIM, Insu , KIM, Hak-Kyoung , NAM, Woonhyun , BOO, SukHoon , SUNG, Myungchul , YEO, Donghun , RYU, Wooju , JANG, Taewoong , JEONG, Kyungjoong , JE, Hongmo , CHO, Hojin
- 申请人： StradVision, Inc.
- 申请人地址： Suite 304-308, 5th Venture-dong 394, Jigok-ro Nam-gu Pohang-si Gyeongsangbuk-do 37668 KR
- 专利权人： StradVision, Inc.
- 当前专利权人： StradVision, Inc.
- 当前专利权人地址： Suite 304-308, 5th Venture-dong 394, Jigok-ro Nam-gu Pohang-si Gyeongsangbuk-do 37668 KR
- 代理机构： Klunker IP Patentanwälte PartG mbB
- 优先权： US201916263275 20190131
- 主分类号： G06K9/36
- IPC分类号： G06K9/36 ; G06N3/04 ; G06N3/08
摘要：
A method for learning transformation of an annotated RGB image into an annotated Non-RGB image, in target color space, by using a cycle GAN and for domain adaptation capable of reducing annotation cost and optimizing customer requirements is provided. The method includes steps of: a learning device transforming a first image in an RGB format to a second image in a non-RGB format, determining whether the second image has a primary or a secondary non-RGB format, and transforming the second image to a third image in the RGB format; transforming a fourth image in the non-RGB format to a fifth image in the RGB format, determining whether the fifth image has a primary RGB format or a secondary RGB format, and transforming the fifth image to a sixth image in the non-RGB format. Further, by the method, training data can be generated even with virtual driving environments.
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