1 |
Wang, H., et al., "Consensus-aware visual-semantic embedding for image-text matching," in European Conference on Computer Vision, Springer, 2020. https://doi.org/10.1007/978-3-030-58586-0_2
DOI
|
2 |
Matsumurr, J., et al., "Exploring advanced technologies for the future combat systems program," RAND ARROYO CENTER SANTA MONICA CA, 2002. https://doi.org/10.7249/mr1332
DOI
|
3 |
Huang, Z., Z. Pan, and B. Lei, "What, where, and how to transfer in SAR target recognition based on deep CNNs,"IEEE Transactions on Geoscience and Remote Sensing, 58(4), p. 2324-2336, 2019. https://doi.org/10.1109/tgrs.2019.2947634
DOI
|
4 |
Mithun, N.C., et al., "Webly supervised joint embedding for cross-modal image-text retrieval," in Proceedings of the 26th ACM international conference on Multimedia, 2018. https://doi.org/10.1145/3240508.3240712
DOI
|
5 |
Shi, B., et al., "Knowledge Aware Semantic Concept Expansion for Image-Text Matching," in IJCAI, 2019. https://doi.org/10.24963/ijcai.2019/720
DOI
|
6 |
Kim, S., W.-J. Song, and S.-H. Kim, "Double weight-based SAR and infrared sensor fusion for automatic ground target recognition with deep learning," Remote Sensing, 10(1), p. 72, 2018. https://doi.org/10.3390/rs10010072
DOI
|
7 |
Zheng, Z., et al., "Dual-path convolutional image-text embeddings with instance loss," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(2), p. 1-23, 2020. https://doi.org/10.1145/3383184
DOI
|
8 |
Sakla, W., G. Konjevod, and T.N. Mundhenk, "Deep multi-modal vehicle detection in aerial ISR imagery," in 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2017. https://doi.org/10.1109/wacv.2017.107
DOI
|
9 |
Zhang, D., et al., "Multi-modal graph fusion for named entity recognition with targeted visual guidance," in Proceedings of the AAAI Conference on Artificial Intelligence, 2021. https://doi.org/10.1609/aaai.v35i16.17687
DOI
|
10 |
Lang, C., A. Braun, and A. Valada, "Contrastive object detection using knowledge graph embeddings," Computer Vision and Pattern Recognition, 2021. https://doi.org/10.48550/arXiv.2112.11366
DOI
|
11 |
Yan, H., et al., "TENER: adapting transformer encoder for named entity recognition," Computation and Language, 2019. https://doi.org/10.48550/arXiv.1911.04474
DOI
|
12 |
Xu, C., et al., "An Optimal Faster-RCNN Algorithm for Intelligent Battlefield Target Recognition," in 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), IEEE, 2020. https://doi.org/10.1109/icaica50127.2020.9181857
DOI
|
13 |
Jo, S.-H., et al., "A study on building knowledge base for intelligent battlefield awareness service," Journal of the Korea Society of Computer and Information, 25(4), p. 11-17, 2020. https://doi.org/10.9708/jksci.2020.25.04.011
DOI
|
14 |
Birant, D. and A. Kut, "ST-DBSCAN: An algorithm for clustering spatial-temporal data," Data & knowledge engineering, 60(1), p. 208-221, 2007. https://doi.org/10.1016/j.datak.2006.01.013
DOI
|