Depth scale balance saliency detection with connective feature pyramid and edge guidance
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-02150-z.pdf
Reference43 articles.
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2. Hou Q, Cheng MM, Hu X, Borji A, Tu Z, Torr PHS (2019) Deeply supervised salient object detection with short connections. IEEE Trans Pattern Anal Mach Intell 41(4):815–828. https://doi.org/10.1109/TPAMI.2018.2815688
3. Chen S, Tan X, Wang B, Hu X (2018) Reverse attention for salient object detection. In: Proceedings of the European conference on computer vision, pp 234–250. https://doi.org/10.1007/978-3-030-01240-3_15
4. Liu N, Han J, Yang MH (2020) PiCANet: pixel-wise contextual attention learning for accurate saliency detection. IEEE Trans Image Process 29(99):6438–6451. https://doi.org/10.1109/TIP.2020.2988568
5. Zhang L, Dai J, Lu H, He Y, Wang G (2018) A bi-directional message passing model for salient object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1741–1750. https://doi.org/10.1109/CVPR.2018.00187
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