Locality-Aware Channel-Wise Dropout for Occluded Face Recognition
Face recognition remains a challenging task in unconstrained scenarios, especially when faces are partially occluded. To improve the robustness against occlusion, augmenting the training images with artificial occlusions has been proved as a useful approach. However, these artificial occlusions are...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 02., Seite 788-798
|
|---|
| 1. Verfasser: |
He, Mingjie
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Zhang, Jie,
Shan, Shiguang,
Liu, Xiao,
Wu, Zhongqin,
Chen, Xilin |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|