检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

22,771 篇 会议
112 篇 期刊文献
23 册 图书

馆藏范围

22,905 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

13,398 篇 工学
- 10,880 篇 计算机科学与技术...
- 3,450 篇 软件工程
- 2,430 篇 机械工程
- 1,721 篇 光学工程
- 1,010 篇 控制科学与工程
- 998 篇 电气工程
- 761 篇 信息与通信工程
- 393 篇 仪器科学与技术
- 337 篇 生物工程
- 257 篇 生物医学工程（可授...
- 215 篇 电子科学与技术（可...
- 113 篇 化学工程与技术
- 112 篇 安全科学与工程
- 98 篇 测绘科学与技术
- 92 篇 交通运输工程
- 86 篇 建筑学
- 82 篇 土木工程
3,362 篇 医学
- 3,348 篇 临床医学
- 79 篇 基础医学(可授医学...
3,250 篇 理学
- 1,953 篇 物理学
- 1,664 篇 数学
- 567 篇 统计学（可授理学、...
- 484 篇 生物学
- 245 篇 系统科学
- 109 篇 化学
506 篇 管理学
- 299 篇 图书情报与档案管...
- 219 篇 管理科学与工程(可...
- 75 篇 工商管理
252 篇 艺术学
- 252 篇 设计学（可授艺术学...
62 篇 法学
- 59 篇 社会学
40 篇 农学
25 篇 教育学
19 篇 经济学
11 篇 军事学
3 篇 文学

主题

10,126 篇 computer vision
4,025 篇 pattern recognit...
2,900 篇 training
1,958 篇 computational mo...
1,792 篇 cameras
1,758 篇 visualization
1,485 篇 shape
1,466 篇 image segmentati...
1,447 篇 feature extracti...
1,412 篇 three-dimensiona...
1,288 篇 robustness
1,169 篇 computer archite...
1,144 篇 layout
1,142 篇 computer science
1,134 篇 semantics
1,071 篇 object detection
1,043 篇 conferences
1,009 篇 benchmark testin...
967 篇 codes
810 篇 face recognition

机构

135 篇 univ sci & techn...
118 篇 univ chinese aca...
118 篇 chinese univ hon...
110 篇 carnegie mellon ...
99 篇 tsinghua univers...
99 篇 microsoft resear...
94 篇 swiss fed inst t...
92 篇 zhejiang univ pe...
82 篇 university of sc...
81 篇 zhejiang univers...
77 篇 shanghai ai lab ...
77 篇 university of ch...
72 篇 shanghai jiao to...
68 篇 microsoft res as...
65 篇 national laborat...
65 篇 alibaba grp peop...
64 篇 tsinghua univ pe...
63 篇 adobe research
60 篇 peking univ peop...
59 篇 peng cheng labor...

作者

78 篇 van gool luc
72 篇 timofte radu
63 篇 zhang lei
45 篇 luc van gool
40 篇 yang yi
37 篇 loy chen change
33 篇 xiaoou tang
33 篇 li stan z.
33 篇 qi tian
32 篇 sun jian
31 篇 liu yang
31 篇 li fei-fei
30 篇 chen chen
30 篇 tian qi
30 篇 pascal fua
29 篇 darrell trevor
28 篇 ying shan
27 篇 li xin
27 篇 vasconcelos nuno
27 篇 hanqing lu

语言

22,844 篇 英文
35 篇 其他
20 篇 中文
5 篇 土耳其文
2 篇 日文

检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"

共 22906 条记录，以下是131-140 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

AADS: An Automated Accident Detection and Nighttime Surveillance System Using Fine-Tuned YOLOv10 Deep Learning Techniques

AADS: An Automated Accident Detection and Nighttime Surveill...

引用

2025 International conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Karthikeyan, M. Kshirsagar, Pravin Ramdas Tak, Tan Kuan Lalit, Keshav Upreti, Kamal Jain, Rituraj School of Computing Srm Institute of Science and Technology Dept. of Computing Technologies Chennai India J.D College of Engg & Mgmt. Department of Electronics Engg. MS Nagpur India Singapore Institute of Technology Singapore Manipal Institute of Technology Dept. of Computer Science & Engineering Karnataka Manipal India Christ University Department of Computer Science Delhi NCR Ghaziabad India Marwadi University Department of Info. Tech. Gujarat Rajkot India

ISBN: (纸本)9798331527495

computer vision-based surveillance is very important today's security systems to detect, track and regulate the security much better than standard cameras. However, like any other performance measurement systems they have potential pitfalls and technical, ethical, and legal implications must be well understood. The continuous rise in connection and interaction implies that safety of the public especially when navigating roads or operating in public domains is paramount. The conventional approaches to accident identification include observation or reporting from witnesses and always record slow and imprecise outcomes. With the improvement of AI and computer visions, especially with deep learning models such as YOLO, accident detection is changing. YOLO v10 which is incorporated in the surveillance systems, performs real time video analysis to provide object and pattern recognition of accidents including car accidents and incidents involving the pedestrians. When applied to the initial set of annotated accident images, the fine-tuning of the YOLO v10 model enhances its detection capability. The system is in watching the video frames that contain aberrations and issues and alarms are issued when the accidents happen and relayed to the monitoring stations or emergency departments for proper response. The optimized YOLOv10 here delivers a meaningful testing score of 72.3% mAP to outperform the regular YOLOv10 efficiency in incident detection. © 2025 ieee.

关键词： Machine vision

来源：评论

学校读者我要写书评

暂无评论

Learning Binary-Antithetical Information Bottleneck for Generalizable Face Anti-Spoofing

Learning Binary-Antithetical Information Bottleneck for Gene...

引用

2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Yu, Hao Chen, Haoyu Zhao, Guoying Center for Machine Vision and Signal Analysis University of Oulu Finland Department of Computer Science Aalto University Finland

ISBN: (纸本)9798350368741

We investigate generalizable face anti-spoofing (FAS) using information bottleneck theory. As generalizable FAS aims to detect spoofing in unseen scenarios, it has recently gained significant attention. Existing methods often use adversarial strategies or auxiliary modules to learn domain-invariant features by mining data relationships from distinct source domains. However, their learned feature space may still shift for unseen data due to the spurious correlations overfitted from training domains. Our rationale is that the problem of generalized pattern learning in FAS can be framed as a unified binary-antithetical information transition process, grounded in information bottleneck theory. Specifically, we leverage mutual-information optimization to preserve the instance-level spoof-aware information while compressing domain-related information modeled from the antithetical identity distribution. This enables the model to dynamically identify domain-agnostic, minimal sufficient representations that consistently describe the live/spoof distributions while mitigating spurious correlations through cross-identity compression. In light of this, we propose a novel learning framework for FAS, named Binary-Antithetical Information Bottleneck (BIB)-FAS, which is proven to be effectively generalized to unseen scenarios without using auxiliary information (e.g., domain labels) for training. Extensive cross-domain evaluations show that BIB-FAS significantly outperforms state-of-the-art methods. The code is available at: ***/CV-AC/BIB-FAS. © 2025 ieee.

关键词： Binary-antithetical transition Domain generalization Face anti-spoofing Information bottleneck

来源：评论

学校读者我要写书评

暂无评论

Pre-capture Privacy via Adaptive Single-Pixel Imaging

Pre-capture Privacy via Adaptive Single-Pixel Imaging

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Yoko Sogabe Shiori Sugimoto Ayumi Matsumoto Masaki Kitahara NTT Corporation Japan

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

As cameras become ubiquitous in our living environment, invasion of privacy is becoming a significant concern. A common approach to privacy preservation is to remove personally identifiable information from a captured image, but there is a risk of the original image being leaked. In this paper, we propose a pre-capture privacy-aware imaging method that captures images from which the details of a pre-specified anonymized target have been eliminated. The proposed method applies a single-pixel imaging frame-work in which we introduce a feedback mechanism called an aperture pattern generator (APG). The introduced APG adaptively outputs the next aperture pattern to avoid sampling the anonymized target by using already acquired data as a clue. Furthermore, the anonymized target can be set to any object without changing hardware. Except for the removed detailed features of the anonymized target, the captured images are of comparable quality to those captured by a general camera and can be used for various computer vision applications. We target faces and license plates and experimentally show that the proposed method can capture clear images in which detailed features of the anonymized target are eliminated, achieving both privacy and utility.

关键词： Privacy computer vision Apertures Cameras Hardware Generators Sensors License plate recognition Faces Identification of persons

来源：评论

学校读者我要写书评

暂无评论

Gate-Shift-Pose: Enhancing Action recognition in Sports with Skeleton Information

Gate-Shift-Pose: Enhancing Action Recognition in Sports with...

引用

ieee Winter Applications and computer vision Workshops (WACVW)

作者： Edoardo Bianchi Oswald Lanz Free University of Bozen-Bolzano Piazza Università 1 Bolzano Italy

ISBN: (数字)9798331536626

ISBN: (纸本)9798331536633

This paper introduces Gate-Shift-Pose, an enhanced version of Gate-Shift-Fuse networks, designed for athlete fall classification in figure skating by integrating skeleton pose data alongside RGB frames. We evaluate two fusion strategies: early-fusion, which combines RGB frames with Gaussian heatmaps of pose keypoints at the input stage, and latefusion, which employs a multi-stream architecture with attention mechanisms to combine RGB and pose features. Experiments on the FR-FS dataset demonstrate that Gate-Shift-Pose significantly outperforms the RGB-only baseline, improving accuracy by up to 40% with ResNet18 and 20% with ResNet50. Early-fusion achieves the highest accuracy (98.08%) with ResNet50, leveraging the model's capacity for effective multimodal integration, while latefusion is better suited for lighter backbones like ResNet18. These results highlight the potential of multimodal architectures for sports action recognition and the critical role of skeleton pose information in capturing complex motion patterns.

关键词： Heating systems Accuracy conferences computer architecture Logic gates Skeleton Multisensory integration pattern recognition Sports Residual neural networks

来源：评论

学校读者我要写书评

暂无评论

Modality-Specific Strategies for Medical Image Segmentation Using Lightweight SAM Architectures

Modality-Specific Strategies for Medical Image Segmentation...

引用

International Challenge on Segment Anything in Medical Images on Laptop held in conjunction with the ieee/CVF conference on computer vision and pattern recognition, CVPR 2024

作者： Dao, Thuy Ye, Xincheng Scarsbrook, Joshua Balarupan, Gowrienanthan Ribeiro, Fernanda L. Bollmann, Steffen School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia Queensland Digital Health Centre University of Queensland Brisbane Australia

ISBN: (纸本)9783031818530

Medical image segmentation tasks are often intricate and require medical domain expertise. Recent advancements in deep learning have expedited these demanding tasks, transitioning from specialized models tailored to each task to versatile foundation models capable of accommodating various image modalities. However, many of these foundation models are optimized for GPU computation, necessitating significant computational resources and constraining their practical utility in clinical settings. Furthermore, their variable accuracy across modalities and novel domains undermines their reliability in clinical practice. To address these limitations, we undertake a comparative investigation into deploying medical image segmentation models on CPU, focusing on accuracy and runtime efficiency, as part of the "CVPR 2024: Segment Anything In Medical Images On Laptop" challenge. Our methodology employs different models customized for each modality, including pre-trained EfficientViT-SAM and LiteMedSAM to yield the most precise and efficient outcomes. Additionally, to bolster model performance for datasets featuring small regions of interest, such as PET scans, we integrate a majority voting mechanism. We optimize runtime using the OpenVINO format within a C++ inference script. This approach improves inference runtime while maintaining competitive accuracy, achieving an average DSC score of 0.86 on the validation set and 0.75 on the testing set with an average runtime of 4.61 s on the testing set. Notably, given that most modalities are evaluated in a zero-shot manner, our findings suggest that the zero-shot capability of foundation models can be further refined through dataset-specific inference strategies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： C++ (programming language)

来源：评论

学校读者我要写书评

暂无评论

Enriching Local patterns with Multi-Token Attention for Broad-Sight Neural Networks

Enriching Local Patterns with Multi-Token Attention for Broa...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Hankyul Kang Jongbin Ryu Ajou University

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

In neural networks, recognizing visual patterns is challenging because global average pooling disregards local patterns and solely relies on over-concentrated activation. Global average pooling enforces the network to learn objects regardless of their location, so features tend to be activated only in specific regions. To support this claim, we provide a novel analysis of the problems that over-concentration brings about in networks with extensive experiments. We analyze the over-concentration through problems arising from feature variance and dead neurons that are not activated. Based on our analysis, we introduce a multi-token attention pooling layer to alleviate the over-concentration problem. Our attention-pooling layer captures broad-sight local patterns by learning multiple tokens with the proposed distillation algorithm. It resolves the high bias and high variance errors of learned multi-tokens, which is crucial when aggregating local patterns with multi-tokens. Our method applies to various vision tasks and network architectures such as CNN, ViT, and MLP-Mixer. The proposed method improves baselines with few extra resources, and a network employing our pooling method works favorably against state-of-the-art networks. We open-source the code at https://***/Lab-LVM/imagenet-models.

关键词： Visualization computer vision Codes Neurons Object detection Network architecture pattern recognition Object recognition Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

Wide Line Segments Detection in Grey-Level Images via Guided Scale Space Radon Transform

Wide Line Segments Detection in Grey-Level Images via Guided...

引用

International Image Processing, Applications and Systems conference (IPAS)

作者： Aicha Baya Goumeidane Djemel Ziou Nafaa Nacereddine Nawal Yala Research Center in Industrial Technologies CRTI Algiers Algeria Département D’Informatique Université de Sherbrooke Québec Canada

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

Line segment detection is a fundamental procedure in computer vision, pattern recognition, and image analysis applications. The paper proposes a novel method for wide line segment detection especially endpoints determination based on the Guided Scale Space Radon Transform and Hessian orientations. The method begins by determining the centerlines of wide lines and then exploit the image Hessian orientations around these lines to define binary region support of the line segments and then detect endpoints. The method shows to be robust against blur and noise on synthetic images where, the evaluation of the outcomes reveals the correctness of the detection by achieving low errors. In addition, results on real images are very promising.

关键词： Radiography Image segmentation Image analysis Error analysis Welding Noise Transforms Robustness Iron pattern recognition

来源：评论

学校读者我要写书评

暂无评论

SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness

SAND: Enhancing Open-Set Neuron Descriptions through Spatial...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Anvita A. Srinivas Tuomas Oikarinen Divyansh Srivastava Wei-Hung Weng Tsui-Wei Weng University of California San Diego Google Research

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

We propose Spatially-Aware open-set Network Dissection (SAND), a technique to identify and label the learned representation of the neurons of deep vision networks. Con-trary to earlier open-vocabulary neuron explanation meth-ods, we also leverage a neuron's spatial pattern of activation to guide our predictions towards more accurate and rel-evant concepts, while avoiding being misled by confounding visual information. We highlight important regions for a neuron through image masking, which has the advantage of being able to block out irrelevant concepts from an im-age, handling irregularly shaped activation regions, and re-vealing the visual concepts that a neuron learns in order to identify objects. We use CLIP to connect highly activating image regions with descriptive concepts, and measure the quality of our results through human evaluation. Further, since such manual evaluation can be highly time consuming, costly, and unscalable, we also propose an automated approach which uses image generation to get quantitative feedback on the generated concepts. Finally, as an application of our interpretability method, we demonstrate how it can be tuned to the medical domain. Our code is available at https://***/Trustworthy-ML-LabISAND

关键词： Measurement Visualization computer vision Image synthesis Neurons Focusing Manuals Object recognition X-ray imaging Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

FG3DFormer: Fine-Grained 3D Shape Classification Based on vision Transformer

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vi...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xiangyu Ma Jing Bai Jinzhe Jiang Bin Peng The School of Computer Science and Engineering North Minzu University The Key Laboratory of Images Processing and Pattern Recognition Laboratory Yinchuan China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Fine-grained 3D shape classification (FGSC) remains challenging due to the difficulty of adaptively capturing global structure differences and subtle inter-class distinctions. This paper directly extends vision Transformer (ViT) to FGSC, proposing a pure Transformer network FG3DFormer that fully leverages ViT’s global correlation and local attention abilities. FG3Dformer comprises the Hierarchical Feature Extraction (HFE) and the Hierarchical Feature Refinement (HFR), interconnected through the Adaptive View Region Selection (AVRS). Firstly, the HFE comprehensively evaluates the significance of intra-view patches and views driven by inter-view and intraview attention. Then, the AVRS adaptively selects crucial patch Tokens from different views to serve as sources of subtle local features. Finally, the HFR refines the 3D shape descriptor, capturing more discriminative global and subtle local features by leveraging both the view and selected crucial patch Tokens. Extensive experiments on FG3D and ModelNet40 demonstrate the superiority of FG3Dformer in FGSC and meta-category 3D shape classification tasks.

关键词： computer vision Visualization Solid modeling Three-dimensional displays Correlation Shape Signal processing Transformers Feature extraction Speech processing

来源：评论

学校读者我要写书评

暂无评论

Towards an UAV Visual Navigation System Based on Map Processing and Spatial Matching Techniques: A Literature Review 17th

Towards an UAV Visual Navigation System Based on Map Proce...

引用

17th Asian conference on Intelligent Information and Database Systems, ACIIDS 2025

作者： Ramanauskas, Edvardas Jodlowiec, Marcin Krótkiewicz, Marek PIXPRO UAB Šiauliai Lithuania Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland School of Computer Science and Engineering International University Ho Chi Minh City Viet Nam Vietnam National University Ho Chi Minh City Viet Nam

ISBN: (纸本)9789819660049

This paper reviews state-of-the-art methods for UAV navigation in GNSS-denied environments, focusing on map-based spatial matching and vision-based techniques. It identifies trends and challenges in current approaches, emphasizing the integration of cartographic data, visual odometry, and data fusion. A novel methodology for identifying research gaps is presented, combining systematic literature review, qualitative and quantitative analysis with multi-criteria evaluation. The findings highlight limitations in existing methods and propose a navigation system that leverages spatial pattern matching and object recognition, integrating vision-based and GIS data. This approach addresses real-time processing challenges and offers a foundation for improving UAV navigation accuracy in GNSS-denied settings. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Global positioning system

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 10 11 12 13 14 15 16 17 18 19 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：