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Military Scenario Named Entity Recognition Method Based on Deep Neural Network.

, , , and . ICCAIS, page 137-140. IEEE, (2018)

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Military Scenario Named Entity Recognition Method Based on Deep Neural Network., , , and . ICCAIS, page 137-140. IEEE, (2018)FANet: Features Adaptation Network for 360$^$ Omnidirectional Salient Object Detection., , , , and . IEEE Signal Process. Lett., (2020)Co-saliency detection via integration of multi-layer convolutional features and inter-image propagation., , , , and . Neurocomputing, (2020)Transformer-Based Multi-Scale Feature Integration Network for Video Saliency Prediction., , , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 33 (12): 7696-7707 (December 2023)Dynamic Selective Network for RGB-D Salient Object Detection., , , , , , , , and . IEEE Trans. Image Process., (2021)Fully Squeezed Multiscale Inference Network for Fast and Accurate Saliency Detection in Optical Remote-Sensing Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Dependency Expansion Model for Sentiment Lexicon Extraction., , , , , and . Web Intelligence/IAT Workshops, page 62-65. IEEE Computer Society, (2013)978-1-4799-2902-3.Subspace Distance-Based Sampling Method for SVM., and . ICDM Workshops, page 1289-1296. IEEE Computer Society, (2010)Co-Saliency Detection Using Collaborative Feature Extraction And High-To-Low Feature Integration., , , , , and . ICME, page 1-6. IEEE, (2020)A Relation-Specific Attention Network for Joint Entity and Relation Extraction., , , , , and . IJCAI, page 4054-4060. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..