Cross-Loss Pseudo Labeling for Semi-Supervised Segmentation
Training semantic segmentation models requires pixel-level annotations, leading to a significant labeling cost in dataset creation. To alleviate this issue, recent research has focused on semi-supervised learning, which utilizes only a small amount of annotation. In this context, pseudo labeling tec...
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2023-01-01
|
| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/10239380/ |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|