Convolutional Neural Networks
VGG-16
Introduced by Simonyan et al. in Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 33 | 10.22% |
| General Classification | 28 | 8.67% |
| Object Detection | 25 | 7.74% |
| Model Compression | 20 | 6.19% |
| Network Pruning | 16 | 4.95% |
| Semantic Segmentation | 16 | 4.95% |
| Quantization | 15 | 4.64% |
| Neural Network Compression | 7 | 2.17% |
| Speech Recognition | 6 | 1.86% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
