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检索条件"机构=Key Laboratory of Computation Intelligence and Signal Processing"
175 条 记 录,以下是41-50 订阅
排序:
SSFam: Scribble Supervised Salient Object Detection Family
arXiv
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arXiv 2024年
作者: Liu, Zhengyi Deng, Sheng Wang, Xinrui Wang, Linbo Fang, Xianyong Tang, Bin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China School of Artificial Intelligence and Big Data Hefei University Hefei China
Scribble supervised salient object detection (SSSOD) constructs segmentation ability of attractive objects from surroundings under the supervision of sparse scribble labels. For the better segmentation, depth and ther... 详细信息
来源: 评论
What Linguistic Information Does Reading Comprehension Require?  5th
What Linguistic Information Does Reading Comprehension Requi...
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5th China Conference on Knowledge Graph, and Semantic Computing, CCKS 2020
作者: Guan, Yong Li, Ru Guo, Shaoru School of Computer and Information Technology Shanxi University Taiyuan China Key Laboratory of Ministry of Education for Computation Intelligence and Chinese Information Processing Shanxi University Taiyuan China
Machine comprehension is one of the primary goals in Artificial intelligence (AI) and Natural Language processing (NLP). Accessing the difficulty level of machine reading comprehension (MRC) questions is important for... 详细信息
来源: 评论
A GAN based method for multiple prohibited items synthesis of X-ray security image
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Optoelectronics Letters 2021年 第2期17卷 112-117页
作者: LI Da-shuang HU Xiao-bing ZHANG Hai-gang YANG Jin-feng Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of ChinaTianjin 300300China Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area Shenzhen PolytechnicShenzhen 518055China
Detecting prohibited item based on convolutional neural networks(CNNs) is of great significance to ensure public safety. However, the natural occurrence of such prohibited items is a small-probability event, collectin... 详细信息
来源: 评论
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
arXiv
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arXiv 2023年
作者: Liu, Lei Zhang, Mengya Li, Cheng Li, Chenglong Tang, Jin The Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Artificial Intelligence Anhui University Hefei230601 China The Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Laboratory of Intelligent Computing and Signal Processing The Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China The School of Computer Science and Technology Anhui University Hefei230601 China
Visual tracking often faces challenges such as invalid targets and decreased performance in low-light conditions when relying solely on RGB image sequences. While incorporating additional modalities like depth and inf... 详细信息
来源: 评论
Stable Extended U-Net for Noise-Robust Speaker Verification
Stable Extended U-Net for Noise-Robust Speaker Verification
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2025 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Wang, Zonghui Fang, Zhihua He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering Tsinghua University Beijing100084 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
With advancements in deep learning, speaker verification systems have significantly improved their performance in noisy environments. Researchers typically demonstrate the effectiveness of their improved models by com... 详细信息
来源: 评论
Multi-Sequence MRI Thoracic Spine Compression Fracture Classification Based on Local-Global Feature Selection and Cross-Attention Fusion
Multi-Sequence MRI Thoracic Spine Compression Fracture Class...
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Advanced Algorithms and Control Engineering (ICAACE), International Conference on
作者: Shuhua Jin Jinjin Hai Shijie Wei Jian Chen Kai Qiao Weicong Zhang Hai Lv Bin Yan Henan Key Laboratory of Imaging and Intelligent Processing School of Cyber Science and Engineering Zhengzhou University Information Engineering University Zhengzhou Henan China Henan Key Laboratory of Imaging and Intelligent Processing Information Engineering University Zhengzhou Henan China Henan Key Laboratory of Imaging and Intelligent Processing Information Engineering University Zhengzhou University Zhengzhou Henan China Jiangmen Key Laboratory of Artificial Intelligence in Medical Image Computation and Application Jiangmen Guangdong China Department of Spinal Surgery The Fifth Affiliated Hospital of Sun Yat-sen University Zhuhai Guangdong China
Thoracic vertebral compression fracture (VCF) is a common fracture type in clinical practice, which seriously affects the quality of life of patients. The benign and malignant classifications of VCF are of significant... 详细信息
来源: 评论
MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infection
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Computers in Biology and Medicine 2024年 179卷 108835-108835页
作者: Wei, Pi-Jing Bao, Jin-Jin Gao, Zhen Tan, Jing-Yun Cao, Rui-Fen Su, Yansen Zheng, Chun-Hou Deng, Li Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Anhui University 111 Jiulong Road HefeiAnhui230601 China Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University 111 Jiulong Road HefeiAnhui230601 China Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Sciences and Oceanology Shenzhen University Guangdong Shenzhen518055 China School of Artificial Intelligence Anhui University 111 Jiulong Road HefeiAnhui230601 China
Gene regulatory networks (GRNs) are crucial for understanding organismal molecular mechanisms and processes. Construction of GRN in the epithelioma papulosum cyprini (EPC) cells of cyprinid fish by spring viremia of c... 详细信息
来源: 评论
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
arXiv
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arXiv 2023年
作者: Zhu, Yabin Li, Chenglong Wang, Xiao Tang, Jin Huang, Zhixiang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes School of Electronic and Information Engineering Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China
Existing Transformer-based RGBT tracking methods either use cross-attention to fuse the two modalities, or use self-attention and cross-attention to model both modality-specific and modality-sharing information. Howev... 详细信息
来源: 评论
SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection
arXiv
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arXiv 2022年
作者: Liu, Zhengyi Tan, Yacheng He, Qian Xiao, Yun Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial Intelligence Anhui University Hefei China
Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features. By absorbing the advantage of tr... 详细信息
来源: 评论
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
arXiv
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arXiv 2024年
作者: Zhu, Yabin Wang, Qianwu Li, Chenglong Tang, Jin Huang, Zhixiang The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Public Safety and Emergency Management Anhui University of Science and Technology Hefei231131 China School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Security Artificial Intelligence School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China Center for Big Data and Population Health of IHM China
The complementary benefits from visible and thermal infrared data are widely utilized in various computer vision task, such as visual tracking, semantic segmentation and object detection, but rarely explored in Multip... 详细信息
来源: 评论