ResLT : Residual Learning for Long-Tailed Recognition
Deep learning algorithms face great challenges with long-tailed data distribution which, however, is quite a common case in real-world scenarios. Previous methods tackle the problem from either the aspect of input space (re-sampling classes with different frequencies) or loss space (re-weighting cla...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 13. März, Seite 3695-3706
|
|---|
| 1. Verfasser: |
Cui, Jiequan
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Liu, Shu,
Tian, Zhuotao,
Zhong, Zhisheng,
Jia, Jiaya |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|