检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Yu, Ting Lin, Xiaojun Wang, Shuhui Sheng, Weiguo Huang, Qingming Yu, Jun School of Information Science and Technology Hangzhou Normal University Hangzhou311121 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China

Three-Dimensional (3D) dense captioning is an emerging vision-language bridging task that aims to generate multiple detailed and accurate descriptions for 3D scenes. It presents significant potential and challenges due to its closer representation of the real world compared to 2D visual captioning, as well as complexities in data collection and processing of 3D point cloud sources. Despite the popularity and success of existing methods, there is a lack of comprehensive surveys summarizing the advancements in this field, which hinders its progress. In this paper, we provide a comprehensive review of 3D dense captioning, covering task definition, architecture classification, dataset analysis, evaluation metrics, and in-depth prosperity discussions. Based on a synthesis of previous literature, we refine a standard pipeline that serves as a common paradigm for existing methods. We also introduce a clear taxonomy of existing models, summarize technologies involved in different modules, and conduct detailed experiment analysis. Instead of a chronological order introduction, we categorize the methods into different classes to facilitate exploration and analysis of the differences and connections among existing techniques. We also provide a reading guideline to assist readers with different backgrounds and purposes in reading efficiently. Furthermore, we propose a series of promising future directions for 3D dense captioning by identifying challenges and aligning them with the development of related tasks, offering valuable insights and inspiring future research in this field. Our aim is to provide a comprehensive understanding of 3D dense captioning, foster further investigations, and contribute to the development of novel applications in multimedia and related domains. Copyright © 2024, The Authors. All rights reserved.

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering

arXiv

引用

arXiv 2024年

作者： Yu, Ting Fu, Kunhao Wang, Shuhui Huang, Qingming Yu, Jun School of Information Science and Technology Hangzhou Normal University Hangzhou311121 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China

Video Question Answering (VideoQA) represents a crucial intersection between video understanding and language processing, requiring both discriminative unimodal comprehension and sophisticated cross-modal interaction for accurate inference. Despite advancements in multi-modal pre-trained models and video-language foundation models, these systems often struggle with domain-specific VideoQA due to their generalized pre-training objectives. Addressing this gap necessitates bridging the divide between broad cross-modal knowledge and the specific inference demands of VideoQA tasks. To this end, we introduce HeurVidQA, a framework that leverages domain-specific entity-action heuristics to refine pre-trained video-language foundation models. Our approach treats these models as implicit knowledge engines, employing domain-specific entity-action prompters to direct the model’s focus toward precise cues that enhance reasoning. By delivering fine-grained heuristics, we improve the model’s ability to identify and interpret key entities and actions, thereby enhancing its reasoning capabilities. Extensive evaluations across multiple VideoQA datasets demonstrate that our method significantly outperforms existing models, underscoring the importance of integrating domain-specific knowledge into video-language models for more accurate and context-aware VideoQA. Copyright © 2024, The Authors. All rights reserved.

关键词： Inference engines

来源：评论

学校读者我要写书评

暂无评论

Research on Image Stitching Methods for Cmos Grayscale Cameras in Industrial Scenarios

SSRN

引用

SSRN 2024年

作者： Liu, Qi Huo, Ju Tang, Xiyu Xue, Muyao School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China National Key Laboratory of Modeling and Simulation for Complex Systems Heilongjiang Harbin150000 China School of Astronautics Harbin Institute of Technology Harbin150001 China Space Propulsion Technology Research Institute Shanghai Academy of Spaceflight Technology Shanghai201109 China

Addressing the limited field of view of CMOS grayscale cameras, complex lighting conditions, and the paucity of image features in industrial applications, this paper proposes a novel image stitching method for CMOS grayscale cameras under varying lighting conditions. It extends the camera's field of view while maintaining the interpretability of image features, thus enhancing the robustness and generalizability of image stitching across diverse lighting environments and feature-sparse settings. In the feature extraction phase, a hybrid deep feature extraction network is designed. By employing a deep learning-based approach for feature extraction, the network ensures an ample quantity of features. Building upon this, a line feature selection and reconstruction method is developed to further refine feature matching accuracy, increasing the number of matching lines under extreme lighting and feature-scarce situations, thereby enriching the image features for subsequent stitching steps. The subsequent image transformation phase introduces planar feature constraints;matching feature points and lines generate planar features, addressing alterations in the collective shape of planes common in industrial image stitching. The paper concludes with quantitative evaluation metrics for planar feature-based stitching. Experimental results validate the effectiveness and feasibility of our approach for image stitching of CMOS grayscale cameras under varied lighting conditions and in feature-deficient industrial settings. It offers a viable solution to the challenges of limited imaging fields of view faced by CMOS grayscale cameras in industrial applications. © 2024, The Authors. All rights reserved.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Multi2human: Controllable Human Image Generation with Multimodal Controls

SSRN

引用

SSRN 2023年

作者： Gu, Xiaoling Xu, Shengwenzhuo Wong, Yongkang Wu, Zizhao Yu, Jun Fan, Jianping Kankanhalli, Mohan S. Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University China National University of Singapore Singapore School of Digital Media Technology Hangzhou Dianzi University China

Generating high-quality and diverse human images presents a substantial difficulty within the field of computer vision, especially in developing controllable generative models that can utilize input from various modalities. Such models could enable innovative applications like digital human, fashion design, and content creation. In this study, we introduce Multi2Human, a two-stage image synthesis framework for controllable human image generation with multimodal controls. In the first stage, a novel WAvelet-vqVaE (WAVE) architecture is designed to embed human images using a learnable codebook. The WAVE model enhances the conventional Vector Quantized Variational Autoencoder (VQVAE) by integrating wavelets throughout the encoder, thereby enhancing the quality of image reconstruction and synthesis. In the second stage, a new Multimodal Conditioned Diffusion Model (MCDM) is de- signed to estimate the underlying prior distribution within the discrete latent space using a discrete diffusion process, thus allowing for human image generation condi- tioned on multimodal controls. Quantitative and qualitative analysis demonstrates that the proposed method has the ability to create high-quality, lifelike full-body human images while satisfying the specified multimodal controls. Our code is available at https://***/gxl-groups/Multi2Human. © 2023, The Authors. All rights reserved.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis of satellite power system based on rough K-means clustering and fuzzy multi-attribute decision making 3

Fault diagnosis of satellite power system based on rough K-m...

引用

3rd International Conference on Electrical Engineering and Mechatronics technology, ICEEMT 2023

作者： Xing, Jingyi Wang, Feng Ma, Ke Sun, Qilong Suo, Mingliang Institute of Reliability Engineering Beihang University Beijing100191 China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing100191 China Beihang University School of Reliability and Systems Engineering Beijing100191 China Beijing Institute of Space Long March Vehicle Beijing100076 China

ISBN: (纸本)9798350303698

Fault diagnosis is an integral part of a satellite characterized by high autonomy, which is one of the fundamental guarantees to ensure the normal operation of the satellite. Clustering, as an unsupervised data mining method, is widely used in fault diagnosis. Regarding fault detection and isolation with the high real-time requirements, K-means clustering becomes a typical representative of effective diagnosis tools thanks to its fast-running characteristic. However, the stiff partition idea of K-means clustering seriously affects its results, and it may even lead to misdiagnosis. Therefore, to meet the need for faster and more accurate fault diagnosis of satellite, we introduce a clustering method combined with K-means and rough set, which utilizes the imprecise description characteristic of rough set to cluster samples flexibly. Subsequently, the clustering results are fed into a multi-attribute decision making model to generate a fuzzy decision-making model for fault diagnosis. Finally, the experimental results of fault diagnosis based on a satellite power system prove the effectiveness and superiority of our method. © 2023 IEEE.

关键词： Satellites

来源：评论

学校读者我要写书评

暂无评论

Combination Weight Assignment Based on Rough Set and Information Entropy for Inertial Measurement Unit Evaluation 4

Combination Weight Assignment Based on Rough Set and Informa...

引用

4th International Conference on Signal Processing and Computer science, SPCS 2023

作者： Ma, Ke Xu, Shengzhong Zhuang, Chunqing Xing, Jingyi Suo, Mingliang Institute of Reliability Engineering Beihang University Beijing100191 China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing100191 China School of Reliability and Systems Engineering Beihang University Beijing100191 China Beijing Institute of Space Long March Vehicle Beijing100076 China

ISBN: (纸本)9781510672505

Inertial measurement unit (IMU) evaluation, which plays an important role in the selection, storage scheme design, maintenance plan formulation, etc. of IMU, often uses the multi-attribute decision-making (MADM) method and considers multidimensional information to produce a reliable result. To address the issues of bias and one-sidedness of a single weighting method, a combination weighting method based on a rough set and information entropy is raised in this paper. This proposed method, integrating the statistical characteristics of data, information features, and decision risk that are necessary factors for data-driven weight assignment, constructs a feasible set of weight assignment methods. Based on the information entropy, the importance of each method in the constructed set can be calculated. Subsequently, the comprehensive weights under the feasible set can be yielded with the help of the rough set theory-based redundancy elimination method. Finally, the feasibility and effectiveness of the proposed methods are verified by a practical engineering case, i.e., the accurate evaluation of IMU. © 2023 SPIE.

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

Availability Assessment of the LEO Satellite Communication System with the Consideration of Satellite Handover

Availability Assessment of the LEO Satellite Communication S...

引用

Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Yu Tian Ruiying Li Yuanyuan Wang Ji Ma Yeqing Song School of Reliability and Systems Engineering Beihang University Beijing China Science and Technology on Reliability and Environmental Engineering Laboratory Beijing China Deep Space Exploration Laboratory Beijing China

Satellite handover frequently occurs on low-earth-orbit (LEO) satellite communication systems, and it affects system availability. However, existing studies neglected such an impact. To solve the problem above, this paper proposed a topology modeling method, in which the satellite dynamic operation is divided into small time slices to simplify the system, and the earth ground is divided into grids to abstract the ground user's communication requirement. Then, the service availability is defined according to the key performance parameter of the communication service, delay, and a Monte Carlo-based availability assessment method is addressed with the consideration of the satellite handover. Finally, a case is used to analyze how satellite handover strategies affect service availability. and suggestions are given to improve system availability.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring the Physical World Adversarial Robustness of Vehicle Detection

arXiv

引用

arXiv 2023年

作者： Jiang, Wei Zhang, Tianyuan Liu, Shuangcheng Ji, Weiyu Zhang, Zichao Xiao, Gang Information Science Academy China Eletronics Technology Group Corporation Beijing100846 China Beihang University Beijing China National Key Laboratory for Complex Systems Simulation Beijing China

Adversarial attacks can compromise the robustness of real-world detection models. However, evaluating these models under real-world conditions poses challenges due to resource-intensive experiments. Virtual simulations offer an alternative, but the absence of standardized benchmarks hampers progress. Addressing this, we propose an innovative instant-level data generation pipeline using the CARLA simulator. Through this pipeline, we establish the Discrete and Continuous Instant-level (DCI) dataset, enabling comprehensive experiments involving three detection models and three physical adversarial attacks. Our findings highlight diverse model performances under adversarial conditions. Yolo v6 demonstrates remarkable resilience, experiencing just a marginal 6.59% average drop in average precision (AP). In contrast, the ASA attack yields a substantial 14.51% average AP reduction, twice the effect of other algorithms. We also note that static scenes yield higher recognition AP values, and outcomes remain relatively consistent across varying weather conditions. Intriguingly, our study suggests that advancements in adversarial attack algorithms may be approaching its "limitation".In summary, our work underscores the significance of adversarial attacks in real-world contexts and introduces the DCI dataset as a versatile benchmark. Our findings provide valuable insights for enhancing the robustness of detection models and offer guidance for future research endeavors in the realm of adversarial attacks. Copyright © 2023, The Authors. All rights reserved.

关键词： Pipelines

来源：评论

学校读者我要写书评

暂无评论

Key Techniques on Unified Identity Authentication in OpenMBEE Integration 4

Key Techniques on Unified Identity Authentication in OpenMBE...

引用

4th IEEE International Conference on Electronics and Communication Engineering, ICECE 2021

作者： Xue, Junjie Zhou, Junhua Shi, Guoqiang Feng, Chaoqun Liu, Penghua Quan, Hongyan Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing China Institute of Electronic System Engineering Beijing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781728194226

In order to make full use of the concept of model-based systems engineering (MBSE) and the collaborative design capability of the open model-based engineering environment (OpenMBEE) in establishing complex product development platform, we propose an effective method to solve the problem of unified identity authentication in OpenMBEE integration. The proposed method is based on the Model View Controller(MVC) architecture in OpenMBEE, which has the characteristics strong plasticity and can be benefit for expanding the function in the controller layer. In our research, we make full use of the Software Development Kit (SDK) of OpenMBEE to expand the existing functions in the controller layer, and increase the function of communicating with the application development platform, then realize the function of sharing user authentication information between the development platform and OpenMBEE. After expansion, the system includes three modules, including the Front-end Service Module(FSM), MQ based Information Receiving Service Module(IFRSM), and the OpenMBEE Back-end Server Module(BSM). The effectiveness of the proposed strategies is verified by some practical instances, which verifies that our study can provide an effective design idea for the identity authentication in OpenMBEE integration. ©2021 IEEE

关键词： Integration

来源：评论

学校读者我要写书评

暂无评论

Cc@Bcn@Pani Core-Shell Nanoarrays as Ultra-High Cycle Stability Cathode for Zn-Ion Hybrid Supercapacitors

SSRN

引用

SSRN 2023年

作者： Xiong, Shixian Ke, Hongcheng Cao, Lei Wang, Yu Zhu, Qian Zhong, Liqin Fan, Lanlan Gu, Feng Nanchang Key Laboratory for Advanced Manufacturing of Electronic Information Materials and Devices Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China

Exploring cathode materials that combine excellent cycling stability and high energy density remains challenging for aqueous zinc ion hybrid supercapacitors (ZHSCs). Herein, polyaniline (PANI) coated BCN nanoarray on carbon cloth surface is prepared as advanced cathode materials via simple high-temperature calcination and electrochemical deposition methods. Due to the high specific capacity and conductivity of PANI, the CC@BCN@PANI core-shell nanoarrays cathode shows excellent ion storage capability. Furthermore, the 3D nanoarray structure can provide enough space for the volume expansion and contraction of PANI during the charging and discharging process, which effectively avoids the collapse of the microstructure and greatly improves the electrochemical stability of PANI. Therefore, the CC@BCN@PANI based ZHSCs exhibit the superior electrochemical performances with a high capacity of 145.8 mAh g-1 (0.5 A g-1), a high energy and power density of 116.78 Wh kg-1 and 12 W kg-1, and a high-capacity retention rate of 86.2% at 2 A g-1 after 8000 cycles. In addition, the flexible Zn-ion hybrid supercapacitors (FZHSCs) are also investigated, and show a high capacity of 160 mAh g-1 (0.1 A g-1), and a capacity retention rate of 87.7% at 2 A g-1 after 450 cycles. © 2023, The Authors. All rights reserved.

关键词： Cathodes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：