Arbitrary Object Detectors
Circular Smooth Label
Introduced by Yang et al. in On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCircular Smooth Label (CSL) is a classification-based rotation detection technique for arbitrary-oriented object detection. It is used for circularly distributed angle classification and addresses the periodicity of the angle and increases the error tolerance to adjacent angles.
Source: On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Sign Language Recognition | 9 | 16.07% |
| Self-Supervised Learning | 7 | 12.50% |
| Sentence | 4 | 7.14% |
| Causal Discovery | 2 | 3.57% |
| Semantic Segmentation | 2 | 3.57% |
| Sentence Embedding | 2 | 3.57% |
| Image Classification | 2 | 3.57% |
| Classification | 2 | 3.57% |
| General Classification | 2 | 3.57% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
