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GraphLOMO: Weakly Supervised Object Localization by Nguyễn Hữu Dũng is a document available to read on EtoBox.
What is GraphLOMO: Weakly Supervised Object Localization about?
The paper presents GraphLOMO, a weakly semi-supervised learning framework for locating multiple objects in images without visual annotations, utilizing Graph Transformer Networks and Class Activation Maps. This method addresses the challenges of traditional object localization by integrating topological information and prior knowledge, thereby improving performance in complex domains like manufacturing and medical imaging. Extensive experiments on datasets such as MS-COCO and Pascal VOC demonstrate its effe
- Author
- Nguyễn Hữu Dũng
- Language
- EN