Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition

arXiv: Computer Vision and Pattern Recognition, Volume abs/1810.04158, 2019, Pages 2579-2586.

Cited by: 2|Views45
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Abstract:

While convolutional neural networks are dominating the field of computer vision, one usually does not have access to the large amount of domain-relevant data needed for their training. Therefore, it has become common practice to use available synthetic samples along domain adaptation schemes to prepare algorithms for the target domain. Ta...More

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