December 2018
Intermediate to advanced
764 pages
18h 18m
English
DeepLab proposed by Chen et al. (https://arxiv.org/pdf/1606.00915.pdf) performs convolutions on multiple scales and uses the features from various scales to obtain a score map. The score map is then interpolated and passed through a conditional random field (CRF) for final segmentation. This scale processing of images can be either performed by processing images of various sizes with its own CNN or parallel convolutions with varying level of dilated convolutions.

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