December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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RefiNet
Dilated convolutions need bigger input and hence, are memory intensive. This presents computational problems when using high-resolution pictures. Reid et al. (https://arxiv.org/pdf/1611.06612.pdf) prosed a method called RefiNet to overcome this problem which is shown below:
Reproduced with permission from Reid et al.
RefiNet uses an encoder followed by a decoder. Encoder outputs of CNN. The decoder concatenates the features of various sizes:
Reproduced with permission from Reid et al.
The concatenation is done upscaling the low dimensional ...
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