Object Detection Models
CentripetalNet
Introduced by Dong et al. in CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCentripetalNet is a keypoint-based detector which uses centripetal shift to pair corner keypoints from the same instance. CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.
Source: CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Instance Segmentation | 1 | 33.33% |
| Object Detection | 1 | 33.33% |
| Semantic Segmentation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
