MobileNet is a type of convolutional neural network designed for mobile and embedded vision applications. They are based on a streamlined architecture that uses depthwise separable convolutions to build lightweight deep neural networks that can have low latency for mobile and embedded devices.
Source: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Image Classification | 15 | 14.02% |
Object Detection | 14 | 13.08% |
Quantization | 11 | 10.28% |
Network Pruning | 6 | 5.61% |
Model Compression | 5 | 4.67% |
General Classification | 5 | 4.67% |
Semantic Segmentation | 4 | 3.74% |
Computational Efficiency | 3 | 2.80% |
Facial Expression Recognition (FER) | 2 | 1.87% |