Convolutional Neural Networks
Fast-OCR
Introduced by Laroca et al. in Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient ApproachFast-OCR is a new lightweight detection network that incorporates features from existing models focused on the speed/accuracy trade-off, such as YOLOv2, CR-NET, and Fast-YOLOv4.
Source: Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Optical Character Recognition (OCR) | 2 | 33.33% |
| License Plate Detection | 1 | 16.67% |
| License Plate Recognition | 1 | 16.67% |
| Scene Text Recognition | 1 | 16.67% |
| Image-based Automatic Meter Reading | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
