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Mobile Archs



Auto Base Archs

ChamNet

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation [2018 arXiv]

Slimmable Neural Networks

Slimmable Neural Networks [2019 ICLR] [code: pytorch]

PocketFlow

PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks [2018 NIPS] [code: tensorflow]

MnasNet

MnasNet: Platform-Aware Neural Architecture Search for Mobile [2018 arXiv] [code: mxnet pytorch]

PNASNet

Progressive Neural Architecture Search [2018 ECCV] [code: tensorflow tensorflow pytorch]

NASNet

Learning Transferable Architectures for Scalable Image Recognition [2017 arXiv] [code: tensorflow]


Hand Base Archs

IGC V3

Interleaved Group Convolutions for Deep Neural Networks [2018 BMVC] [code: mxnet]

IGC V2

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks [2018 CVPR]

IGC V1

Interleaved Group Convolutions for Deep Neural Networks [2017 ICCV] [code: mxnet]

ShuffleNet V2

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design [2018 ECCV] [code: caffe]

ShuffleNet V1

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices [2018 CVPR] [code: caffe]

MobileNet V2

MobileNetV2: Inverted Residuals and Linear Bottlenecks [2018 CVPR] [code: tensorflow caffe]

MobileNet V1

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [2017 arXiv] [code: tensorflow  caffe]

SqueezeNext

SqueezeNext: Hardware-Aware Neural Network Design [2018 CVPR] [code: caffe  tensorflow]

SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size [2016 arXiv] [code: caffe]

MENet

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications [2018 IJCNN] [code: pytorch]

FD-MobileNet

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy [2018 arXiv]


Hand Det Archs

Pelee

Pelee: A Real-Time Object Detection System on Mobile Devices [2018 NIPS] [code: caffe]