MoGA-B

2000년 도입 · 논문 1편에서 사용

MoGA-B 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.

출처: MoGA: Searching Beyond MobileNetV3

소개 논문: MoGA: Searching Beyond MobileNetV3