Spatio-temporal compression for semi-supervised video object segmentation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02638-4.pdf
Reference47 articles.
1. Huang, Z., Zhao, H., Zhan, J., Li, H.: A multivariate intersection over union of siamrpn network for visual tracking. Vis. Comput. (2021). https://doi.org/10.1007/s00371-021-02150-1
2. Gökstorp, B.T.P. S.G.E.: Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (uav) video. Visual Comput. (2021). https://doi.org/10.1007/s00371-021-02264-6
3. Tschiedel, R.M.F.K.E.E.A.M.: Real-time limb tracking in single depth images based on circle matching and line fitting. Visual Comput. (2021). https://doi.org/10.1007/s00371-021-02138-x
4. Li, W.Z.Y.X.E.A.Y.: Efficient convolutional hierarchical autoencoder for human motion prediction. Visual Comput. (2019). https://doi.org/10.1007/s00371-019-01692-9
5. Xu, L.Z.C.Q. D.: Object-based illumination transferring and rendering for applications of mixed reality. Visual Comput. (2021). https://doi.org/10.1007/s00371-021-02292-2
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