[56] Peter Ochs, Jitendra Malik, and Thomas Brox. Segmentation of moving objects by long term video analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(6):1187-1200, 2014.
[57] Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim. Video object segmentation using space-time memory networks. In ICCV, pages 9226–9235, 2019.
[58] Youwei Pang, Lihe Zhang, Xiaoqi Zhao, and Huchuan Lu. Hierarchical dynamic filtering network for rgb-d salient object detection. In ECCV, pages 235-252, 2020.
[59] Youwei Pang, Xiaoqi Zhao, Lihe Zhang, and Hutchuan Lu. Multi-scale interactive network for salient object detection. In CVPR, pages 9413-9422, 2020.
[60] Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, and Rongrong Ji. RGBD salient object detection: a benchmark and algorithms. In ECCV, pages 92-109, 2014.
[61] Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung. A benchmark dataset and evaluation methodology for video object segmentation. In CVPR, pages 724-732, 2016.
[62] Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, and Hutchuan Lu. Depth-induced multi-scale recurrent attention network for saliency detection. In Proceedings of the IEEE International Conference on Computer Vision, pages 7254-7263, 2019.
[63] Yongri Piao, Chenyang Lu, Miao Zhang, and Huchuan Lu. Semi-supervised video salient object detection based on uncertainty-guided pseudo labels. NeurIPS, 35:5614-5627, 2022.
[64] Yongri Piao, Zhengkun Rong, Miao Zhang, Weisong Ren, and Huchuan Lu. A2dele: Adaptive and attentive depth distiller for efficient rgb-d salient object detection. In CVPR, pages 9060-9069, 2020.
[65] Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, and Martin Jagersand. Basnet: Boundary-aware salient object detection. In CVPR, pages 7479-7489, 2019.
[66] Vivek Kumar Singh, Parma Nand, Pankaj Sharma, and Preeti Kaushik. Video-based salient object detection: A survey. In International Conference on Computing, Communication, and Intelligent Systems, pages 617-622, 2022.
[67] Shuran Song and Jianxiong Xiao. Tracking revisited using rgbd camera: Unified benchmark and baselines. In ICCV, pages 233-240, 2013.
[68] Luciano Spinello and Kai O Arras. People detection in rgb-d data. In IROS, pages 3838-3843, 2011.
[69] Haoxiang Wang, Zhihui Li, Yang Li, Brij B Gupta, and Chang Choi. Visual saliency guided complex image retrieval. Pattern Recognition Letters, 130:64-72, 2020.
[70] Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, and Xiang Ruan. Learning to detect salient objects with image-level supervision. In CVPR, pages 136-145, 2017.
[71] Wenguan Wang, Jianbing Shen, and Ling Shao. Consistent video saliency using local gradient flow optimization and global refinement. IEEE Transactions on Image Processing, 24(11):4185-4196, 2015.
[72] Jun Wei, Shuhui Wang, and Qingming Huang.  $\mathrm{F}^3$  net: fusion, feedback and focus for salient object detection. In AAAI, pages 12321-12328, 2020.
[73] Zhe Wu, Li Su, and Qingming Huang. Cascaded partial decoder for fast and accurate salient object detection. In CVPR, pages 3907-3916, 2019.
[74] Qiong Yan, Li Xu, Jianping Shi, and Jiaya Jia. Hierarchical saliency detection. In CVPR, pages 1155-1162, 2013.
[75] Song Yan, Jinyu Yang, Jani Kapylä, Feng Zheng, Aleš Leonardis, and Joni-Kristian Kämäräinen. Depth-track: Unveiling the power of rgbd tracking. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10725-10733, 2021.
[76] Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang. Saliency detection via graph-based manifold ranking. In CVPR, pages 3166-3173, 2013.
[77] Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis, and Feng Zheng. Towards generic 3d tracking in rgbd videos: Benchmark and baseline. In ECCV, pages 112-128, 2022.