MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

30 Apr 2020Yunyang XiongHanxiao LiuSuyog GuptaBerkin AkinGabriel BenderPieter-Jan KindermansMingxing TanVikas SinghBo Chen

Inverted bottleneck layers, which are built upon depthwise convolutions, have been the predominant building blocks in state-of-the-art object detection models on mobile devices. In this work, we question the optimality of this design pattern over a broad range of mobile accelerators by revisiting the usefulness of regular convolutions... (read more)

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