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检索条件"机构=Institute of Image Processing and Pattern Recognition North China University of Technology"
1391 条 记 录,以下是151-160 订阅
排序:
Robot Debater: Debate-styled Text Auto-generation System Based on Large Foundation Language Models
Robot Debater: Debate-styled Text Auto-generation System Bas...
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pattern recognition and Machine Learning (PRML), IEEE International Conference on
作者: Yu Zhu Yijun Ling Xufeng Ling Jie Yang Shanghai Library (Institute of Scientific and Technical Information of Shanghai) Shanghai China Shanghai Xiangming High School Shanghai China School of Artificial Intelligence Shanghai Normal University Tianhua College Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
We use a large foundation language model, which is fine-tuned with debate corpora, to develop a robot debater application. To address the limitations of requiring immense computational power in large base language mod...
来源: 评论
Evaluation of low-dose CT supervised learning algorithms with transformer-based model observer
arXiv
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arXiv 2022年
作者: Shi, Yongyi Wang, Ge Mou, Xuanqin Biomedical Imaging Center Rensselaer Polytechnic Institute TroyNY United States Institute of Image Processing and Pattern Recognition Xi’an Jiaotong University Shaanxi Xi’an China
A variety of supervise learning methods have been proposed for low-dose computed tomography (CT) sinogram domain denoising. Traditional measures of image quality have been employed to optimize and evaluate these metho... 详细信息
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Deep Learning in Palmprint recognition-A Comprehensive Survey
arXiv
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arXiv 2025年
作者: Gao, Chengrui Yang, Ziyuan Jia, Wei Leng, Lu Zhang, Bob Teoh, Andrew Beng Jin College of Computer Science Sichuan University Chengdu610065 China Singapore School of Computer and Information Hefei University of Technology Hefei China Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China Pattern Analysis and Machine Intelligence Group Department of Computer and Information Science University of Macau Taipa China School of Electrical and Electronic Engineering College of Engineering Yonsei University Seoul Korea Republic of
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall short in representation capability, as t... 详细信息
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Application of an Improved Focal Loss in Vehicle Detection  19th
Application of an Improved Focal Loss in Vehicle Detection
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19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020
作者: He, Xuanlin Yang, Jie Kasabov, Nikola Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Auckland University of Technology Auckland New Zealand
Object detection is an important and fundamental task in computer vision. Recently, the emergence of deep neural network has made considerable progress in object detection. Deep neural network object detectors can be ... 详细信息
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Supervised Classification of Plant image Based on Attention Mechanism
Supervised Classification of Plant Image Based on Attention ...
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International Conference on Systems and Informatics (ICSAI)
作者: Jie Li Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
In view of the wide variety of plants on the earth, the plant species identification is particularly necessary to protect and preserve biodiversity. In this work, we propose a plant image classification method based o... 详细信息
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Optimal Initialization Conditions Discovery to Improve Clustering Based image Segmentation
SSRN
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SSRN 2022年
作者: Khan, Zubair Khan, Tehreem Yang, Jie Tu, Enmei Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China University of Central Punjab Bahawalpur Pakistan
A B S T R A C TIn this paper, we propose a solution to the most important factor that deteriorates the performance of the clustering algorithms. We propose an efficient approach for discovering optimal initialization ... 详细信息
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Towards unbiased random features with lower variance for stationary indefinite kernels
arXiv
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arXiv 2021年
作者: Luo, Qin Fang, Kun Yang, Jie Huang, Xiaolin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
Random Fourier Features (RFF) demonstrate well-appreciated performance in kernel approximation for large-scale situations but restrict kernels to be stationary and positive definite. And for non-stationary kernels, th... 详细信息
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Translatotron-V(ison): An End-to-End Model for In-image Machine Translation
arXiv
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arXiv 2024年
作者: Lan, Zhibin Niu, Liqiang Meng, Fandong Zhou, Jie Zhang, Min Su, Jinsong School of Informatics Xiamen University China Pattern Recognition Center WeChat AI Tencent Inc China Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan Xiamen University Ministry of Culture and Tourism China Institute of Computer Science and Technology Soochow University China
In-image machine translation (IIMT) aims to translate an image containing texts in source language into an image containing translations in target language. In this regard, conventional cascaded methods suffer from is... 详细信息
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Eliminating Contextual Prior Bias for Semantic image Editing via Dual-Cycle Diffusion
arXiv
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arXiv 2023年
作者: Yang, Zuopeng Chu, Tianshu Lin, Xin Gao, Erdun Liu, Daqing Yang, Jie Wang, Chaoyue Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai200240 China the Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou510006 China the School of Mathematics and Statistics The University of Melbourne MelbourneVIC3010 Australia the JD Explore Academy Beijing100176 China
The recent success of text-to-image generation diffusion models has also revolutionized semantic image editing, enabling the manipulation of images based on query/target texts. Despite these advancements, a significan... 详细信息
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FastFlowNet: A lightweight network for fast optical flow estimation
arXiv
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arXiv 2021年
作者: Kong, Lingtong Shen, Chunhua Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China The University of Adelaide Australia
Dense optical flow estimation plays a key role in many robotic vision tasks. It has been predicted with satisfying accuracy than traditional methods with advent of deep learning. However, current networks often occupy... 详细信息
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