R-CCF: region-aware continual contrastive fusion for weakly supervised object detection
Author:
Funder
National Science Foundation of China
China Postdoctoral Science Foundation
National Postdoctoral Program for Innovative Talents
Science Foundation of Heilongjiang Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05403-3.pdf
Reference74 articles.
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2. Tang P, Wang X, Bai X, Liu W (2017) Multiple instance detection network with online instance classifier refinement. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2843–2851
3. Bilen H, Vedaldi A (2016) Weakly supervised deep detection networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2846–2854
4. Zhang Y, Bai Y, Ding M, Li Y, Ghanem B (2018) W2f: a weakly-supervised to fully-supervised framework for object detection. In: CVPR. IEEE, pp 928–936
5. Zhang Y, Bai Y, Ding M, Li Y, Ghanem B (2018) Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. Pattern Recognit 84:68–81
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