A Novel Edge-Inspired Depth Quality Evaluation Network for RGB-D Salient Object Detection
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10723-023-09674-x.pdf
Reference72 articles.
1. Wang, L., Lu, L., Wang, Y., et al.: Learning to detect salient objects with image-level supervision. IEEE Conference on Computer Vision & Pattern Recognition. IEEE (2017)
2. Li, Q., Yue, Z., Jie, Y.: Saliency based image segmentation. 2011 International Conference on Multimedia Technology. (2011)
3. Qin, C., Zhang, G., Zhou, Y., et al: Integration of the saliency-based seed extraction and random walks for image segmentation. Neurocomputing. 129:378–391 (2014)
4. Guo, C.L., Zhang, L.M.: A novel multi resolution spatio-temporal saliency detection model and its applications in image and video compression. IEEE Trans. Image Process. 19(1), 185–198 (2010)
5. Felzenszwalb, P.F., Girshick, B., McAllester, D.: Ramanan D: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627–1645 (2010)
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