A new bottleneck module that downsamples then upsamples feature maps inside a lightweight CNN block improves ImageNet accuracy by up to 6.6% over MobileNetV2 at comparable FLOPs.
Channel pruning for accelerating very deep neural networks
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HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
A new bottleneck module that downsamples then upsamples feature maps inside a lightweight CNN block improves ImageNet accuracy by up to 6.6% over MobileNetV2 at comparable FLOPs.