A SqueezeNeXt Block is a two-stage bottleneck module used in the SqueezeNeXt architecture to reduce the number of input channels to the 3 × 3 convolution. We decompose with separable convolutions to further reduce the number of parameters (orange parts), followed by a 1 × 1 expansion module.
Source: SqueezeNext: Hardware-Aware Neural Network DesignPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Quantization | 1 | 33.33% |
Clustering Multivariate Time Series | 1 | 33.33% |
Multivariate Time Series Imputation | 1 | 33.33% |
Component | Type |
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1x1 Convolution
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Convolutions | |
Convolution
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Convolutions | |
Residual Connection
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Skip Connections | |
Spatially Separable Convolution
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Convolutions |