Author:
Carreira João,Pătrăucean Viorica,Mazare Laurent,Zisserman Andrew,Osindero Simon
Publisher
Springer International Publishing
Reference49 articles.
1. Jampani, V., Gadde, R., Gehler, P.V.: Video propagation networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, 21–26 July 2017, pp. 3154–3164. IEEE Computer Society (2017)
2. Pfister, T., Charles, J., Zisserman, A.: Flowing convnets for human pose estimation in videos. In: 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, 7–13 December 2015, pp. 1913–1921. IEEE Computer Society (2015)
3. Zhu, X., Wang, Y., Dai, J., Yuan, L., Wei, Y.: Flow-guided feature aggregation for video object detection. In: IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, 22–29 October 2017, pp. pp. 408–417. IEEE Computer Society (2017)
4. Alcantarilla, P.F., Stent, S., Ros, G., Arroyo, R., Gherardi, R.: Street-view change detection with deconvolutional networks. In: Hsu, D., Amato, N.M., Berman, S., Jacobs, S.A. (eds.) Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, 18–22 June 2016 (2016)
5. Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: FlowNet 2.0: evolution of optical flow estimation with deep networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, 21–26 July 2017, pp. 1647–1655. IEEE Computer Society (2017)
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning Local and Global Temporal Contexts for Video Semantic Segmentation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10
2. A Coding Framework and Benchmark Towards Low-Bitrate Video Understanding;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08
3. Efficient High-Resolution Deep Learning: A Survey;ACM Computing Surveys;2024-04-09
4. Survey on fast dense video segmentation techniques;Computer Vision and Image Understanding;2024-04
5. VOS;Video Object Segmentation;2023-12-16