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SkipNet: Learning Dynamic Routing in Convolutional Networks
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“Instead of adding branches, skippable tiny NNs known as gates are attached to the network architecture of SkipNet [217].”
Background
Metadata
- Authors
- Wang, X., Yu, F., Dou, Z.-Y., Darrell, T., & Gonzalez, J. E.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 420-436
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2963393494
- Cited by
- 625
- References
- 12
- FWCI
- 19.62
- Type
- conference paper
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- CoChat. (2026). Citation check: SkipNet: Learning Dynamic Routing in Convolutional Networks. https://app.cochat.ai/papers/10.1007/978-3-030-01261-8_25
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- Wang, X., Yu, F., Dou, Z.-Y., Darrell, T., & Gonzalez, J. E. (2018). SkipNet: Learning Dynamic Routing in Convolutional Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-01261-8_25
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