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I am currently a lecturer in the School of Information Science and Technology at Northwest University, China. I received the PhD degree from Northwest University of China in 2022. My research interests include machine learning, computer vision, pattern recognition and Fine-grained image analysis. |
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Movable Object Detection in Remote Sensing Images via Dynamic Automatic Learning [paper] |
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Boundary-Aware Bilateral Fusion Network for Cloud Detection [paper] |
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A benchmark dataset and approach for fine-grained visual categorization n complex scenes[J] [paper] |
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Guided Filter Network for Semantic Image Segmentation [paper] |
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Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation [paper] |
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Automatic Learning for Object Detection [paper] |
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Detail-Aware Multiscale Context Fusion Network for Cloud Detection [paper] |
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Location-Guided Coarse-to-Fine Network for whole Heart Segmentation [paper] |
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Semi-Supervised Cloud Detection for Remote Sensing Imagery via Self-Training [paper] |
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Hierarchical bilinear convolutional neural network for image classification [paper] |
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Plant recognition via leaf shape and margin features [paper] |
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Multilayer feature descriptors fusion CNN models for fine-grained visual recognition [paper] |
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Fast QR code detection [paper] |
一种基于人工智能的遥感田埂界线检测方法、系统、计算机设备及存储介质 一种基于目标分割的小样本训练方法 一种像素级标签自动生成模型构建、自动生成方法及装置 一种基于双线性结构的层级分类方法 一种双线性特征融合的细粒度概念模型及学习方法 一种基于叶片形状和边缘特征的植物叶片识别方法 |
NWU-ABC-MRSI Dataset NWU-ABC-MRSI dataset contains 10242 multi-temporal remote sensing images of 3 object categories (i.e., vehicle, aeroplane, and ship). This dataset is publicly shared at https://github.com/XZNWU/NWU-ABC-MRSI/. Please cite the following paper when you use this dataset fully or partly: |
AIBD-Cars Dataset Identifying the detailed model of a car from an image is challenging for anyone but car experts, and collecting and labeling large-scale fine-grained data is daunting in general. We have constructed a fine-grained dataset named AIBD-Cars, which contains 28471 car images with complex backgrounds belonging to 196 fine-grained classes. This dataset is publicly available at https://github.com/XZNWU/AIBD-Cars. Please cite the following paper when you use this dataset fully or partly: |