ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Datasets, Transforms and Models specific to Computer Vision
PDF Abstract ECCV 2018 PDF ECCV 2018 AbstractCode
Colab
PyTorch Hub
ImageNet
MS COCO
Methods
1x1 Convolution •
Average Pooling •
Batch Normalization •
Channel Shuffle •
Convolution •
Dense Connections •
Depthwise Convolution •
Global Average Pooling •
ReLU •
Residual Connection •
ShuffleNet v2 •
ShuffleNet V2 Block •
ShuffleNet V2 Downsampling Block •
Sigmoid Activation •
Softmax •
Squeeze-and-Excitation Block •
Step Decay •
Weight Decay
