张翔
讲师（高校）
研究领域
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主要研究领域：机器学习和计算机视觉、大规模细粒度图像分析、近零知识学习、AIGC等。
论文成果
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Enabling Near-Zero Cost Object Detection in Remote Sensing Imagery via Progressive Self-Training.IEEE Transactions on Geoscience and Remote Sensing.2024,中科院一区
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ConvSRGAN: super-resolution inpainting of traditional Chinese paintings.Heritage Science.2024,Volume 12(中科院一区)
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DRANet: A semantic segmentation network for Chinese landscape paintings.Digital Signal Processing.2024,Volume 147(中科院三区)
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Guided Filter Network for Semantic Image Segmentation.IEEE Transactions on Image Processing (CCF-A).2022
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Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation.AAAI 2022 (CCF-A).2022
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Movable Object Detection in Remote Sensing Images via Dynamic Automatic Learning.IEEE Transactions on Geoscience and Remote Sensing (中科院一区).2023
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Boundary-Aware Bilateral Fusion Network for Cloud Detection.IEEE Transactions on Geoscience and Remote Sensing (中科院一区).2023
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Automatic learning for object detection.Neurocomputing.2022,Volume 484(中科院二区)
专利
著作成果
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