Convolutional Neural Networks
Fast-YOLOv4-SmallObj
Introduced by Laroca et al. in Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient ApproachThe Fast-YOLOv4-SmallObj model is a modified version of Fast-YOLOv4 to improve the detection of small objects. Seven layers were added so that it predicts bounding boxes at 3 different scales instead of 2.
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 |
|---|---|---|
| Fire Detection | 1 | 25.00% |
| Object Detection | 1 | 25.00% |
| Image-based Automatic Meter Reading | 1 | 25.00% |
| Optical Character Recognition (OCR) | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
