Designing Network Design Spaces Article Swipe
Ilija Radosavovic
,
Raj Prateek Kosaraju
,
Ross Girshick
,
Kaiming He
,
Piotr Dollár
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/cvpr42600.2020.01044
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/cvpr42600.2020.01044
In this work, we present a new network design paradigm. Our goal is to help advance the understanding of network design and discover design principles that generalize across settings. Instead of focusing on designing individual network instances, we design network design spaces that parametrize populations of networks. The overall process is analogous to classic manual design of networks, but elevated to the design space level. Using our methodology we explore the structure aspect of network design and arrive at a low-dimensional design space consisting of simple, regular networks that we call RegNet. The core insight of the RegNet parametrization is surprisingly simple: widths and depths of good networks can be explained by a quantized linear function. We analyze the RegNet design space and arrive at interesting findings that do not match the current practice of network design. The RegNet design space provides simple and fast networks that work well across a wide range of flop regimes. Under comparable training settings and flops, the RegNet models outperform the popular EfficientNet models while being up to 5x faster on GPUs.
Related Topics
Concepts
Computer science
Simple (philosophy)
Network planning and design
Space (punctuation)
Parametrization (atmospheric modeling)
Function (biology)
Process (computing)
Engineering design process
Design process
Range (aeronautics)
Theoretical computer science
Distributed computing
Work in process
Computer network
Engineering
Programming language
Biology
Physics
Operating system
Philosophy
Epistemology
Mechanical engineering
Evolutionary biology
Operations management
Aerospace engineering
Quantum mechanics
Radiative transfer
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/cvpr42600.2020.01044
- OA Status
- green
- Cited By
- 44
- References
- 51
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3016265891
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3016265891Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/cvpr42600.2020.01044Digital Object Identifier
- Title
-
Designing Network Design SpacesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-06-01Full publication date if available
- Authors
-
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, Piotr DollárList of authors in order
- Landing page
-
https://doi.org/10.1109/cvpr42600.2020.01044Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2003.13678Direct OA link when available
- Concepts
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Computer science, Simple (philosophy), Network planning and design, Space (punctuation), Parametrization (atmospheric modeling), Function (biology), Process (computing), Engineering design process, Design process, Range (aeronautics), Theoretical computer science, Distributed computing, Work in process, Computer network, Engineering, Programming language, Biology, Physics, Operating system, Philosophy, Epistemology, Mechanical engineering, Evolutionary biology, Operations management, Aerospace engineering, Quantum mechanics, Radiative transferTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
44Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1, 2021: 28, 2020: 14, 2019: 1Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
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20Other works algorithmically related by OpenAlex
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