ShuffleNet is a convolutional neural network designed specially for mobile devices with very limited computing power. The architecture utilizes two new operations, pointwise group convolution and channel shuffle, to reduce computation cost while maintaining accuracy.
Source: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile DevicesPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Image Classification | 5 | 8.77% |
Object Detection | 5 | 8.77% |
Semantic Segmentation | 5 | 8.77% |
Model Compression | 4 | 7.02% |
Real-Time Semantic Segmentation | 3 | 5.26% |
Computational Efficiency | 2 | 3.51% |
Network Pruning | 2 | 3.51% |
Rain Removal | 2 | 3.51% |
Single Image Deraining | 2 | 3.51% |