OW-Adapter : Human-Assisted Open-World Object Detection with a Few Examples
Open-world object detection (OWOD) is an emerging computer vision problem that involves not only the identification of predefined object classes, like what general object detectors do, but also detects new unknown objects simultaneously. Recently, several end-to-end deep learning models have been pr...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2023), 1 vom: 23. Jan., Seite 694-704
|
1. Verfasser: |
Jamonnak, Suphanut
(VerfasserIn) |
Weitere Verfasser: |
Guo, Jiajing,
He, Wenbin,
Gou, Liang,
Ren, Liu |
Format: | Online-Aufsatz
|
Sprache: | English |
Veröffentlicht: |
2024
|
Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
|
Schlagworte: | Journal Article |