Semantic Segmentation Models
Adaptive Early-Learning Correction
Introduced by Liu et al. in Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsAdaptive Early-Learning Correction for Segmentation from Noisy Annotations
Source: Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Classification | 1 | 16.67% |
| Medical Image Segmentation | 1 | 16.67% |
| Memorization | 1 | 16.67% |
| Semantic Segmentation | 1 | 16.67% |
| Weakly supervised segmentation | 1 | 16.67% |
| Weakly-Supervised Semantic Segmentation | 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 |
