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检索条件"机构=Key Laboratory of Signal Detection and ProcessingXinjiang University"
208 条 记 录,以下是41-50 订阅
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Arbitrary-Shape Text Spotting Based on Global, Pixel and Sequence Semantics  4th
Arbitrary-Shape Text Spotting Based on Global, Pixel and S...
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4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024
作者: Zhang, Chunhu Ibrayim, Mayire Hamdulla, Askar Deng, Qilin Xinjiang Key Laboratory of Signal Detection and Processing Urumqi China Xinjiang University School of Information Science and Engineering Urumqi China Xinjiang University College of Future Technology Urumqi China
The field of end-to-end text spotting has garnered significant interest in recent years, propelled by the revealed intrinsic synergies between scene text detection and recognition. While advancements have been made, t... 详细信息
来源: 评论
Multi-speaker Emotional Speech Synthesis Based on Self-Supervised Speech Representations  5
Multi-speaker Emotional Speech Synthesis Based on Self-Super...
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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024
作者: Yin, Mingming Huang, Zhihua Lu, Kexin Zhou, Haiyang School of Computer Science and Technology Xinjiang University Urumqi China School of Computer Science and Technology Xinjiang University Key Laboratory of Signal Detection and Processing Urumqi China
In recent years, emotional speech synthesis has shown considerable progress. However, some existing emotional speech synthesis methods only model emotion from a single scale, resulting in only global or average emotio... 详细信息
来源: 评论
Target detection algorithm with wide field of view in foggy weather based on improved CSLBP operator  4
Target detection algorithm with wide field of view in foggy ...
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4th International Conference on Image Processing and Intelligent Control, IPIC 2024
作者: Lian, Xiya Jia, Zhenhong Zhou, Gang Wang, Jiajia Song, Sensen Xiao, Xiaohui Shi, Fei College of Computer Science and Technology Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi830046 China
In order to solve the problem of unclear foreground targets and false foregrounds after performing target detection tasks in foggy video images with wide fields of view, we propose an improved video target detection a... 详细信息
来源: 评论
Dual-MambaNet: A Lightweight Dual-Branch Brain Image Segmentation Network Based on Local Attention and Mamba  27th
Dual-MambaNet: A Lightweight Dual-Branch Brain Image Segment...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhang, Feifei Shi, Fei Ren, Dayong Jia, Zhenhong Wang, Jianyi School of Computer Science and Technology Xinjiang University Urumqi Xinjiang830046 China Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi Xinjiang830046 China National Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China
Brain tissue segmentation is critical for diagnosing and treating brain diseases. While Mamba-based models excel in the medical field, they face performance bottlenecks with high-resolution MRI images, often losing lo... 详细信息
来源: 评论
BD-YOLO: Optimising Insect Imbalance Data detection Models
BD-YOLO: Optimising Insect Imbalance Data Detection Models
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Wang, Jian-Yi Jia, Zhen-Hong Zhou, Gang Wang, Jia-Jia School of Computer Science and Technology Xinjiang University Urumqi China Xinjiang Uygur Autonomous Region Signal Detection and Processing Key Laboratory Xinjiang University Urumqi830046 China
Vision-based insect detection is an important task in smart agriculture. Field-collected insect image datasets usually show severe imbalances in categories. Previous models have insufficient accuracy as well as low re... 详细信息
来源: 评论
Improving ECAPA-TDNN Performance with Coordinate Attention
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Journal of Shanghai Jiaotong university (Science) 2024年 1-7页
作者: Liu, Shuanghong Song, Zhida He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
The current mainstream networks, such as squeeze and excitation residual neural network (SE-ResNet) and emphasized channel attention, propagation and aggregation based time delay neural network (ECAPA-TDNN), enhance t... 详细信息
来源: 评论
Infrared Small Target detection with Feature Refinement and Context Enhancement  31st
Infrared Small Target Detection with Feature Refinement and...
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31st International Conference on Multimedia Modeling, MMM 2025
作者: Li, Xiuhong Zhu, Xinyue Li, Boyuan Li, Songlin Wang, Luyao Jia, Zhenhong School of Computer Science and Technology Xinjiang University Urumgi China Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi China College of Mathematics and System Science Xinjiang University Urumqi China
Infrared small target detection has received widespread application and attention in both civilian and military fields. However, due to the very small size and lack of unique features of these targets, existing method... 详细信息
来源: 评论
COT2DNet: Contextual 2D Attention for Scene Text Recognition  2
COT2DNet: Contextual 2D Attention for Scene Text Recognition
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2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics, AIHCIR 2023
作者: Qian, Yefei Ibrayim, Mayire Hamdulla, Askar Zhang, Chunhu Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China School of Computer Science and Technology Xinjiang University Xinjiang China
Although scene text recognition (STR) methods have made great progress, reading the text of irregularly shaped scenes remains a challenge. The current conversion of two-dimensional (2D) images to one-dimensional (1D) ... 详细信息
来源: 评论
Video image change detection under a wide field of view in foggy weather
Video image change detection under a wide field of view in f...
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2024 International Conference on Image Processing and Artificial Intelligence, ICIPAl 2024
作者: Li, Wen Jia, Zhenhong Huang, Xiaohui Wang, Jiajia Zhou, Gang Shi, Fei School of Computer Science and Technology Urumqi830046 China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi830046 China
Addressing the problem of poor visual effect and noise interference in foggy video images collected by hawk-eye image sensors, we suggest an approach which utilizes difference images (DIs) fusion and two-stage cluster... 详细信息
来源: 评论
Coarse-to-fine change detection in low-illumination video sequences via classifier trained on ResNet18
Coarse-to-fine change detection in low-illumination video se...
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2024 International Conference on Image Processing and Artificial Intelligence, ICIPAl 2024
作者: Lin, Jiajun Jia, Zhenhong School of Computer Science and Technology Xinjiang University Urumqi830046 China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi830046 China
In low-illumination environments, the contrast between targets and the background sharply decreases, and imaging sensors introduce complex random noise while capturing more light, leading to severe distortion in the t... 详细信息
来源: 评论