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Rethinking Atreus Convolution for Semantic Image Segmentation George Papandreou Florian Scoff Hart wig Adam Google Inc. lichen, Japan, Ashcroft, Adam google.com arXiv:1706.05587v1 cs. CV 17 Jun 2017
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Image recognition and segmentation tasks that require capturing fine-grained details.
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What is rethinking atrous convolution for?
Rethinking atrous convolution is used to improve the efficiency and performance of convolutional neural networks.
Who is required to file rethinking atrous convolution for?
Research scientists, machine learning engineers, and developers working on computer vision tasks may need to implement rethinking atrous convolution.
How to fill out rethinking atrous convolution for?
To fill out rethinking atrous convolution, one must understand the concept of dilated convolutions and how to apply them in deep learning models.
What is the purpose of rethinking atrous convolution for?
The purpose of rethinking atrous convolution is to increase the receptive field of neural networks without increasing the number of parameters, thus improving feature extraction.
What information must be reported on rethinking atrous convolution for?
Information on the network architecture, dilation rates, and implementation details must be reported on rethinking atrous convolution.
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