Improving Semantic Segmentation via Efficient Self-Training
Starting from the seminal work of Fully Convolutional Networks (FCN), there has been significant progress on semantic segmentation. However, deep learning models often require large amounts of pixelwise annotations to train accurate and robust models. Given the prohibitively expensive annotation cos...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 3 vom: 01. März, Seite 1589-1602
|
|---|
| 1. Verfasser: |
Zhu, Yi
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Zhang, Zhongyue,
Wu, Chongruo,
Zhang, Zhi,
He, Tong,
Zhang, Hang,
Manmatha, R,
Li, Mu,
Smola, Alexander |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2024
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|