陈璞花

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副教授
硕士生导师
- 性别:女
- 毕业院校:西安电子科技大学
- 学位:博士研究生毕业
- 所在单位:人工智能学院
- 入职时间: 2017-02-01
- 学科:计算机科学与技术
- 办公地点:网安大楼CII-1024
- 联系方式:8ed7aefb3caa4c063d745409de254c93cfbeac79259babbc90dad31d8375c738819695cb125f2c3a4378d2fcefa3410949cbe9ab7d68eba8e5c3dae55d5911b9dfa1d791ccb1821403850117655f4e0899eafbaa4dadd9afdb87708506292b560b9cc9157e1bb8ee7eb8e8a86763521f09320781ec28ebb61460d04563bd7d15
- 电子邮箱:1cbe330ce68583af75b9d5c0e5f642adcc6a5ebfed7097b810c839be0359361297cf2ef3a2c5785dd73ddb6d8fb2c89e9aee295603c21890c007e8a901fe87f4cffa72e31c91c97275b0e95d21e5b7b18d2263418956857461331e0ec3c28549b9c43f19bfa3346ea91fa24006efe138595232bf52099334102a59728b6f38c7
访问量:
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[1]Sscfnet: a Spatial-spectral Cross Fusion Network For Remote Sensing Change Detection:IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing,2023,16:4000-4012
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[2]Which Target to Focus On: Class-perception For Semantic Segmentation of Remote Sensing:IEEE Transactions on Geoscience And Remote Sensing,2023,61
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[3]Sdcdnet: a Semi-dual Change Detection Network Framework With Super-weak Label For Remote Sensing Image:IEEE Transactions on Geoscience And Remote Sensing,2023,61
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[4]High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images:IEEE Transactions on Geoscience And Remote Sensing,2023,61
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[5]Transformer Meets Remote Sensing Video Detection And Tracking: a Comprehensive Survey:IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing,2023,16:18-45
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[6]Task Context Transformer And Gcn For Few-shot Learning of Cross-domain:Neurocomputing,2023,548
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[7]Weak-to-strong Consistency Learning For Semisupervised Image Segmentation:IEEE Transactions on Geoscience And Remote Sensing,2023,61
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[8]Feature Distribution Representation Learning Based on Knowledge Transfer For Long-tailed Classification:IEEE Transactions on Multimedia,2023
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[9]$d^{3}k$ Dynastic Data-free Knowledge Distillation:IEEE Transactions on Multimedia,2023:1-14
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[10]Brain-inspired Remote Sensing Interpretation a Comprehensive Survey:IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing,2023,16:1-40