Object Detection Models
PP-YOLOv2
Introduced by Huang et al. in PP-YOLOv2: A Practical Object DetectorPP-YOLOv2 is an object detector that extends upon PP-YOLO with several refinements:
- A Path Aggregation Network is included for the FPN to compose bottom-up paths.
- Mish Activation functions are used.
- The input size is expanded.
- An IoU aware branch is calculated with a soft label format.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Real-Time Object Detection | 2 | 22.22% |
| 2D Object Detection | 1 | 11.11% |
| Dense Object Detection | 1 | 11.11% |
| Multi-Object Tracking | 1 | 11.11% |
| Multiple Object Tracking | 1 | 11.11% |
| Object Detection | 1 | 11.11% |
| Online Multi-Object Tracking | 1 | 11.11% |
| Object | 1 | 11.11% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Mish
|
Activation Functions | |
Mixup
|
Image Data Augmentation | |
PAFPN
|
Feature Extractors | |
PP-YOLO
|
Object Detection Models |
