Lane line detection method based on semi-supervised generative adversarial network
A lane line detection, semi-supervised technology, applied in the field of computer vision, can solve the problem of inability to distinguish between real images and generated images
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[0040]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0041] In the generation confrontation network of the present invention, the images input to the discriminator include both unlabeled images (so unsupervised) and images with actual labels (so there is supervision), so the generation confrontation network of the present invention is called semi- Supervised Adversarial Networks.
[0042] The present invention provides a lane line detection method based on a semi-supervised generation confrontation network, such ...
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