Background-Aware Classification Activation Map for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level annotation to supervise the learning process. However, most WSOL methods only focus on forcing the object classifier to produce high activation score on object parts...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 04. Dez., Seite 14175-14191
|
|---|
| 1. Verfasser: |
Zhu, Lei
(VerfasserIn) |
|---|
| Weitere Verfasser: |
She, Qi,
Chen, Qian,
Meng, Xiangxi,
Geng, Mufeng,
Jin, Lujia,
Zhang, Yibao,
Ren, Qiushi,
Lu, Yanye |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|