Open Access
| Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
|---|---|---|
| Article Number | 01069 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/shsconf/202316601069 | |
| Published online | 05 May 2023 | |
- E. Shelhamer, J. Long, & T. Darrell (2017). Fully Convolutional Networks for Semantic Segmentation. IEEE Trans Pattern Anal Mach Intell, 39(4):640–651. [CrossRef] [Google Scholar]
- H. Zhao, J. Shi, X. Qi, X. Wang, & J. Jia (2017). Pyramid Scene Parsing Network. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6230–6239. [Google Scholar]
- Y. Wei, H. Hu, Z. Xie, Z. Zhang, Y. Cao, J. Bao, D. Chen, & B. Guo (2022). Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. ArXiv abs/2205.14141, 1–17. [Google Scholar]
- PAN Chenting (2020). Application of Deep Learning in Video Action Recognition. Computing Technology and Automation, 39(4), 123–127.(in chinese). [Google Scholar]
- J. Liu, Q. Hou, M. Cheng, J. Feng, & J. Jiang (2019). A Simple Pooling-Based Design for Real-Time Salient Object Detection. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3912–3921. [Google Scholar]
- K. Simonyan, & A. Zisserman (2015). Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs/1409.1556, 1–14. [Google Scholar]
- K. He, X. Zhang, S. Ren, & J. Sun (2016). Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778. [Google Scholar]
- W. Zhu, S. Liang,Y. Wei, & J. Sun (2014). Saliency Optimization from Robust Background Detection. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2814–2821. [Google Scholar]
- R. Achanta, S. Hemami, F. Estrada, & S. Süsstrunk (2009). Frequency-tuned salient region detection. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1597–1604. [Google Scholar]
- Y. Zhai, & M. Shah (2006). Visual attention detection in video sequences using spatiotemporal cues. 14th Annual ACM International Conference on Multimedia, 815–824. [Google Scholar]
- M. Cheng, N.J. Mitra, X. Huang, P.H.S. Torr, & S. Hu (2015). Global Contrast Based Salient Region Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3), 569–582. [CrossRef] [Google Scholar]
- C. Yang, L. Zhang, H. Lu, X. Ruan, & M. Yang (2013). Saliency Detection via Graph-Based Manifold Ranking. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 3166–3173. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.