Saliency Prediction with Relation-Aware Global Attention Module
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-81638-4_25
Reference14 articles.
1. Schauerte, B., Richarz, J., Fink, G.A.: Saliency-based identification and recognition of pointed-at objects. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, pp. 4638–4643 (2010). https://doi.org/10.1109/IROS.2010.5649430
2. Frintrop, S., Kessel, M.: Most salient region tracking. In: 2009 IEEE International Conference on Robotics and Automation, Kobe, pp. 1869–1874 (2009). https://doi.org/10.1109/ROBOT.2009.5152298
3. Saeko, T., Ramesh, R., Michael, G., Bruce, G.: Automatic image retargeting. In: Proceedings of the 4th International Conference on Mobile and Ubiquitous Multimedia, MUM 2005, vol. 154, pp. 59–68 (2005). https://doi.org/10.1145/1149488.1149499
4. Jiang, M., Huang, S., Duan, J., Zhao, Q.: SALICON: saliency in context. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, pp. 1072–1080 (2015). https://doi.org/10.1109/CVPR.2015.7298710
5. Reddy, N., Jain, S., Yarlagadda, P., Gandhi, V.: Tidying deep saliency prediction architectures (2020). abs/2003.04942
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