The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2644615 · Cited by 19,631
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
MatConvNet: Convolutional Neural Networks for MATLAB
Vedaldi, A., & Lenc, K. (2015) · Proceedings of the 23rd ACM international conference on Multimedia · doi:10.1145/2733373.2807412 · Cited by 2,444
The PASCAL visual object classes challenge 2006 (VOC2006) results
Everingham, M., Zisserman, A., Williams, C. K. I., & Gool, L. V. (2006) · Cited by 2,079
Semantic object classes in video: A high-definition ground truth database
Brostow, G. J., Fauqueur, J., & Cipolla, R. (2009) · Pattern Recognition Letters · doi:10.1016/j.patrec.2008.04.005 · Cited by 1,397
Simultaneous Detection and Segmentation
Hariharan, B., Arbeláez, P., Girshick, R., & Malik, J. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10584-0_20 · Cited by 1,085
A support vector method for multivariate performance measures
Joachims, T. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05 · doi:10.1145/1102351.1102399 · Cited by 786
A support vector method for optimizing average precision
Yue, Y., Finley, T., Radlinski, F., & Joachims, T. (2007) · Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1277741.1277790 · Cited by 704
Cited by
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00075 · Cited by 6,612
F³Net: Fusion, Feedback and Focus for Salient Object Detection
Wei, J., Wang, S., & Huang, Q. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6916 · Cited by 1,050
Loss odyssey in medical image segmentation
Ma, J., Chen, J., Ng, M., Huang, R., Li, Y., Li, C., Yang, X., & Martel, A. L. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102035 · Cited by 662
Zhang, T., Li, L., Cao, S., Pu, T., & Peng, Z. (2023) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3238703 · Cited by 486
SDDNet: Real-Time Crack Segmentation
Choi, W., & Cha, Y.-J. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2945265 · Cited by 462
Metadata
- Authors
- Rahman, M. A., & Wang, Y.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 234-244
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2560311620
- Cited by
- 910
- References
- 19
- FWCI
- 8.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation. https://app.cochat.ai/papers/10.1007/978-3-319-50835-1_22
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- Rahman, M. A., & Wang, Y. (2016). Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-50835-1_22
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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.
