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 | 47 | 9.94% |
| General Classification | 28 | 5.92% |
| Object Detection | 26 | 5.50% |
| Model Compression | 23 | 4.86% |
| Classification | 21 | 4.44% |
| Network Pruning | 21 | 4.44% |
| Quantization | 17 | 3.59% |
| Semantic Segmentation | 16 | 3.38% |
| Face Recognition | 7 | 1.48% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
