MoGA-A is a convolutional neural network optimized for mobile latency and discovered via Mobile GPU-Aware (MoGA) neural architecture search. The basic building block is MBConvs (inverted residual blocks) from MobileNetV2. Squeeze-and-excitation layers are also experimented with.
Source: MoGA: Searching Beyond MobileNetV3Paper | Code | Results | Date | Stars |
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