Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation
A fundamental and challenging problem in deep learning is catastrophic forgetting, i.e., the tendency of neural networks to fail to preserve the knowledge acquired from old tasks when learning new tasks. This problem has been widely investigated in the research community and several Incremental Lear...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 31. Feb., Seite 2567-2581
|
|---|
| 1. Verfasser: |
Yang, Guanglei
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Fini, Enrico,
Xu, Dan,
Rota, Paolo,
Ding, Mingli,
Nabi, Moin,
Alameda-Pineda, Xavier,
Ricci, Elisa |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|