The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
PSANet: Point-wise Spatial Attention Network for Scene Parsing
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Citations
Cites
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“A non-local method was adopted in [40], in which attention mask for each position is generated by calculating the feature correlation between each paired positions.”
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Cited by
Dual Attention Network for Scene Segmentation
Fu, J., Liu, J., Tian, H., Li, Y., Bao, Y., Fang, Z., & Lu, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00326 · Cited by 7,351
Deep High-Resolution Representation Learning for Visual Recognition
Wang, J., Sun, K., Cheng, T., Jiang, B., Deng, C., Zhao, Y., Liu, D., Mu, Y., Tan, M., Wang, X., et al. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.2983686 · Cited by 4,894
Han (2023) · doi:10.1109/tpami.2022.3152247 · Cited by 4,682
Image segmentation using deep learning: A survey
Minaee, S., Boykov, Y. Y., Porikli, F., Plaza, A. J., Kehtarnavaz, N., & Terzopoulos, D. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3059968 · Cited by 3,796
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P. H. S., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00681 · Cited by 4,008
“PSANet [59] develops the pointwise spatial attention module for dynamically capturing the long range context.”
BackgroundSelf-citation
Metadata
- Authors
- Zhao, H., Zhang, Y., Liu, S., Shi, J., Loy, C. C., Lin, D., & Jia, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 270-286
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2895340641
- Cited by
- 1,192
- References
- 19
- FWCI
- 35.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- CoChat. (2026). Citation check: PSANet: Point-wise Spatial Attention Network for Scene Parsing. https://app.cochat.ai/papers/10.1007/978-3-030-01240-3_17
- The paper
- Zhao, H., Zhang, Y., Liu, S., Shi, J., Loy, C. C., Lin, D., & Jia, J. (2018). PSANet: Point-wise Spatial Attention Network for Scene Parsing. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-01240-3_17
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
