January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Discriminator
The discriminator takes the generated sequences from the generator and ranks them. The ranking is done with the embedding learned with an n-pair loss. The n-pair loss is similar to triplet loss except that several pairs of positive and negatives are used for comparison. Here are some of the results produced by the model.
Reproduced from Lu et al.
The results are reasonable and better than the results produced by a simple discriminator.
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