January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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DeepRank
DeepRank proposed by Wang et al. (https://users.eecs.northwestern.edu/~jwa368/pdfs/deep_ranking.pdf) is used to rank images based on similarity. Images are passed through different models as shown here:
Reproduced with permission from Wang et al.
The triplet loss is computed here as well and backpropagation is done more smoothly. Then the image can be converted to a linear embedding for ranking purposes, as shown:
Reproduced with permission from Wang et al.
This algorithm is highly useful for ranking purposes.
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