"Dilated cnn"의 두 판 사이의 차이
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*ref. [http://www.inference.vc/dilated-convolutions-and-kronecker-factorisation/ Dilated Convolutions and Kronecker Factored Convolutions] ★ | *ref. [http://www.inference.vc/dilated-convolutions-and-kronecker-factorisation/ Dilated Convolutions and Kronecker Factored Convolutions] ★ | ||
**[https://en.wikipedia.org/wiki/Kronecker_product Kronecker product (wikipedia)] | **[https://en.wikipedia.org/wiki/Kronecker_product Kronecker product (wikipedia)] | ||
| + | ** this ref is from [https://www.reddit.com/r/MachineLearning/comments/52drsq/what_is_dilated_convolution/ reddit]. Another links are there. | ||
== etc == | == etc == | ||
*CRF : [https://arxiv.org/abs/1412.7062 Chen, Liang-Chieh, et al. "Semantic image segmentation with deep convolutional nets and fully connected crfs." arXiv preprint arXiv:1412.7062 (2014).] | *CRF : [https://arxiv.org/abs/1412.7062 Chen, Liang-Chieh, et al. "Semantic image segmentation with deep convolutional nets and fully connected crfs." arXiv preprint arXiv:1412.7062 (2014).] | ||
2017년 3월 24일 (금) 00:47 판
Yu, Fisher, and Vladlen Koltun. "Multi-scale context aggregation by dilated convolutions." arXiv preprint arXiv:1511.07122 (2015).
- dense prediction : "The goal is to compute a discrete or continuous label for each pixel in the image.”
- good example is semantic segmentation
- multi-scale contextual reasoning? (He et al., 2004; Galleguillos & Belongie, 2010).
- ref. Sercu, Tom, and Vaibhava Goel. "Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition." arXiv preprint arXiv:1611.09288 (2016).
- good example is semantic segmentation
- 'The familiar discrete convolution is simply the 1-dilated convolution. ’
- ref. Dilated Convolutions and Kronecker Factored Convolutions ★
- Kronecker product (wikipedia)
- this ref is from reddit. Another links are there.