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GENERATING SYNTHETIC TRAINING DATA FOR OBJECT DETECTION USING MULTI-TASK GENERATIVE ADVERSARIAL NETWORKS
Nowadays, digitizing roadside objects, for instance traffic signs, is a necessary step for generating High Definition Maps (HD Map) which remains as an open challenge. Rapid development of deep learning technology using Convolutional Neural Networks (CNN) has achieved great success in computer visio...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Copernicus Publications
2020-08-01
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| Seri Bilgileri: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Erişim: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/443/2020/isprs-annals-V-2-2020-443-2020.pdf |
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