Image Model Blocks

SqueezeNeXt Block

Introduced by Gholami et al. in SqueezeNext: Hardware-Aware Neural Network Design

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 Design

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