The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
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Cites
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
(2008) · Journal of Machine Learning Research · Cited by 33,051
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684
Focal Loss for Dense Object Detection
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.324 · Cited by 30,581
The pascal visual object classes (VOC) challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
(1993) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1993.341010 · Cited by 14,265
Proceedings of IEEE International Conference on Computer Vision
(1995) · Proceedings of IEEE International Conference on Computer Vision · doi:10.1109/iccv.1995.466933 · Cited by 12,860
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2389824 · Cited by 11,971
Path Aggregation Network for Instance Segmentation
Liu, S., Qi, L., Qin, H., Shi, J., & Jia, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00913 · Cited by 10,011
Cited by
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
Shen, J., Chen, Y., Liu, Y., Zuo, X., Fan, H., & Yang, W. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2023.109913 · Cited by 544
Metadata
- Authors
- Qingyun, F., & Zhaokui, W.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 130
- Pages
- 108786
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W4200631567
- Cited by
- 303
- References
- 38
- FWCI
- 16.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery. https://app.cochat.ai/papers/10.1016/j.patcog.2022.108786
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- Qingyun, F., & Zhaokui, W. (2022). Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery. Pattern Recognition. https://doi.org/10.1016/j.patcog.2022.108786
Data sources
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.
