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

6,639 篇 会议
34 篇 期刊文献
5 册 图书

馆藏范围

6,677 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,950 篇 工学
- 3,725 篇 计算机科学与技术...
- 1,476 篇 软件工程
- 807 篇 光学工程
- 323 篇 信息与通信工程
- 240 篇 控制科学与工程
- 206 篇 机械工程
- 169 篇 电气工程
- 85 篇 生物医学工程（可授...
- 73 篇 电子科学与技术（可...
- 70 篇 生物工程
- 65 篇 仪器科学与技术
- 38 篇 建筑学
- 36 篇 土木工程
- 34 篇 力学（可授工学、理...
- 32 篇 航空宇航科学与技...
- 29 篇 安全科学与工程
- 23 篇 化学工程与技术
- 21 篇 材料科学与工程（可...
1,498 篇 理学
- 969 篇 物理学
- 929 篇 数学
- 369 篇 统计学（可授理学、...
- 136 篇 生物学
- 40 篇 系统科学
- 26 篇 化学
210 篇 医学
- 210 篇 临床医学
- 23 篇 基础医学(可授医学...
165 篇 管理学
- 123 篇 图书情报与档案管...
- 44 篇 管理科学与工程(可...
- 29 篇 工商管理
21 篇 法学
- 21 篇 社会学
10 篇 农学
9 篇 教育学
6 篇 经济学
2 篇 军事学
1 篇 艺术学

主题

2,364 篇 computer vision
847 篇 pattern recognit...
663 篇 cameras
634 篇 computer science
592 篇 face recognition
555 篇 layout
541 篇 conferences
527 篇 image segmentati...
519 篇 shape
463 篇 object recogniti...
447 篇 robustness
393 篇 humans
340 篇 feature extracti...
320 篇 training
305 篇 object detection
261 篇 image recognitio...
260 篇 application soft...
249 篇 lighting
246 篇 computational mo...
237 篇 image reconstruc...

机构

44 篇 microsoft resear...
27 篇 department of co...
21 篇 swiss fed inst t...
21 篇 school of comput...
21 篇 carnegie mellon ...
20 篇 department of co...
19 篇 swiss fed inst t...
18 篇 department of co...
17 篇 department of in...
17 篇 the robotics ins...
17 篇 institute of com...
16 篇 univ sci & techn...
16 篇 robotics institu...
15 篇 tsinghua univ pe...
14 篇 department of el...
14 篇 center for autom...
14 篇 school of comput...
14 篇 school of comput...
14 篇 computer science...
13 篇 univ maryland co...

作者

39 篇 timofte radu
29 篇 s.k. nayar
25 篇 huang thomas s.
24 篇 xiaoou tang
22 篇 t. kanade
20 篇 t. darrell
19 篇 van gool luc
19 篇 nayar shree k.
19 篇 chellappa rama
18 篇 t.s. huang
17 篇 a.k. jain
17 篇 a. zisserman
17 篇 heung-yeung shum
17 篇 zisserman andrew
16 篇 g. healey
16 篇 torralba antonio
16 篇 jain anil k.
16 篇 r. szeliski
15 篇 ying wu
15 篇 m. shah

语言

6,661 篇 英文
9 篇 其他
8 篇 中文

检索条件"任意字段=2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003"

共 6678 条记录，以下是1171-1180 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：

Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine 32

Expression Classification in Children Using Mean Supervised ...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Nagpal, Shruti Singh, Maneet Vatsa, Mayank Singh, Richa Noore, Afzel IIIT Delhi Delhi India Texas A&M Univ Kingsville TX USA

ISBN: (纸本)9781728125060

Automated facial expression classification has widespread application in multiple domains such as human computer interaction, health and entertainment, biometrics, and security. There are six basic facial expressions: Anger, Disgust, Fear, Happiness, Sadness, and Surprise, apart from a neutral state. Most of the research in expression classification has focused on adult face images, with no dedicated research on automating expression classification for children. To the best of our knowledge, this is the first research which presents a deep learning based expression classification approach for children. A novel supervised deep learning formulation, termed as Mean Supervised Deep Boltzmann Machine (msDBM) is proposed which classifies an input face image into one of the seven expression classes. The proposed approach has been evaluated on two child face datasets - Radboud Faces and CAFE, along with experiments on the adult face images of the Radboud Faces dataset. Experimental results and analysis reinforces the challenging nature of the task at hand, and the effectiveness of the proposed msDBM model.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Pose-Guided R-CNN for Jersey Number recognition in Sports 32

Pose-Guided R-CNN for Jersey Number Recognition in Sports

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Liu, Hengyue Bhanu, Bir Univ Calif Riverside Ctr Res Intelligent Syst Riverside CA 92521 USA

ISBN: (纸本)9781728125060

Recognizing player jersey number in sports match video streams is a challenging computer vision task. The human pose and view-point variations displayed in frames lead to many difficulties in recognizing the digits on jerseys. These challenges are addressed here using an approach that exploits human body part cues with a Region based Convolutional Neural Network (R-CNN) variant for digit level localization and classification. The paper first adopts the Region Proposal Network (RPN) to perform anchor classification and bounding-box regression over three classes: background, person and digit. The person and digit proposals are geometrically related and fed to a network classifier. Subsequently, it introduces a human body key-point prediction branch and a pose-guided regressor to get better bounding-box offsets for generating digit proposals. A novel dataset of soccer-match video frames with corresponding multi-digit class labels, player and jersey number bounding boxes, and single digit segmentation masks is collected. Our framework outperforms all existing models on jersey number recognition task. This work will be essential to the automation of player identification across multiple sports, and releasing the dataset will ease future research on sports video analysis.

关键词： Sports

来源：评论

学校读者我要写书评

暂无评论

Exploring Factors for Improving Low Resolution Face recognition 32

Exploring Factors for Improving Low Resolution Face Recognit...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Aghdam, Omid Abdollahi Bozorgtabar, Behzad Ekenel, Hazim Kemal Thiran, Jean-Philippe ITU SiMiT Lab Istanbul Turkey Ecole Polytech Fed Lausanne LTS5 Lausanne Switzerland

ISBN: (纸本)9781728125060

State-of-the-art deep face recognition approaches report near perfect performance on popular benchmarks, e.g., Labeled Faces in the Wild. However, their performance deteriorates significantly when they are applied on low quality images, such as those acquired by surveillance cameras. A further challenge for low resolution face recognition for surveillance applications is the matching of recorded low resolution probe face images with high resolution reference images, which could be the case in watchlist scenarios. In this paper, we have addressed these problems and investigated the factors that would contribute to the identification performance of the state-of-the-art deep face recognition models when they are applied to low resolution face recognition under mismatched conditions. We have observed that the following factors affect performance in a positive way: appearance variety and resolution distribution of the training dataset, resolution matching between the gallery and probe images, and the amount of information included in the probe images. By leveraging this information, we have utilized deep face models trained on MS-Celeb-IM and fine-tuned on VGGFace2 dataset and achieved state-of-the-art accuracies on the SCFace and ICB-RW benchmarks, even without using any training data from the datasets of these benchmarks.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks 32

The Attack Generator: A Systematic Approach Towards Construc...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Assion, Felix Schlicht, Peter Gressner, Florens Gunther, Wiebke Huger, Fabian Schmidt, Nico Rasheed, Umair Neurocat GmbH Berlin Germany Volkswagen AG Wolfsburg Germany

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125060

Most state-of-the-art machine learning (ML) classification systems are vulnerable to adversarial perturbations. As a consequence, adversarial robustness poses a significant challenge for the deployment of ML-based systems in safety- and security-critical environments like autonomous driving, disease detection or unmanned aerial vehicles. In the past years we have seen an impressive amount of publications presenting more and more new adversarial attacks. However, the attack research seems to be rather unstructured and new attacks often appear to be random selections from the unlimited set of possible adversarial attacks. With this publication, we present a structured analysis of the adversarial attack creation process. By detecting different building blocks of adversarial attacks, we outline the road to new sets of adversarial attacks. We call this the "attack generator". In the pursuit of this objective, we summarize and extend existing adversarial perturbation taxonomies. The resulting taxonomy is then linked to the application context of computer vision systems for autonomous vehicles, i.e. semantic segmentation and object detection. Finally, in order to prove the usefulness of the attack generator, we investigate existing semantic segmentation attacks with respect to the detected defining components of adversarial attacks.

关键词： Perturbation methods Taxonomy Robustness Semantics Task analysis computer vision Safety

来源：评论

学校读者我要写书评

暂无评论

Live Demonstration: Digit recognition On Pixel Processor Arrays 32

Live Demonstration: Digit Recognition On Pixel Processor Arr...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Bose, Laurie Chen, Jianing Carey, Stephen J. Dudek, Piotr Mayol-Cuevas, Walterio Univ Bristol Fac Engn Comp Sci Bristol Avon England Univ Manchester Sch Elect & Elect Engn Manchester Lancs England

ISBN: (纸本)9781728125060

In this demo, we will showcase recent work on implementing convolutional neural networks directly on pixel processor arrays (PPA). As CNNs demonstrate enhanced performance across tasks from classification to image synthesis, it becomes essential to find the most adequate ways to realize them, especially for embedded, real-time and reactive tasks in areas across computer vision and Robotics. The PPA concept is one architecture that pairs sensing and massively parallel processing at the focal plane level and allow mid to high level tasks to be run wholly embedded within them. They allow operation at high framerates and low energy consumption (<= 2W), and without the need for external signal interpretation or processing. In this demo we will showcase our recent work on the implementation of CNNs on the SCAMPS architecture I I as a step towards true end-to-end operation on flexibly programmable PPA hardware. In particular, we will showcase handwritten number classification from image capture to classification wholly embedded on the PPA.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras 32

Asynchronous Convolutional Networks for Object Detection in ...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Cannici, Marco Ciccone, Marco Romanoni, Andrea Matteucci, Matteo Politecn Milan Milan Italy

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125060

Event-based cameras, also known as neuromorphic cameras, are bioinspired sensors able to perceive changes in the scene at high frequency with low power consumption. Becoming available only very recently, a limited amount of work addresses object detection on these devices. In this paper we propose two neural networks architectures for object detection: YOLE, which integrates the events into surfaces and uses a frame-based model to process them, and fcYOLE, an asynchronous event-based fully convolutional network which uses a novel and generalformalization of the convolutional and max pooling layers to exploit the sparsity of camera events. We evaluate the algorithm with different extensions of publicly available datasets, and on a novel synthetic dataset.

关键词： Object detection Cameras Neuromorphics Surface treatment Neural networks computer architecture Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Robot Workspace Monitoring using a Blockchain-based 3D vision Approach 32

Robot Workspace Monitoring using a Blockchain-based 3D Visio...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Lopes, Vasco Pereira, Nuno Alexandre, Luis A. Univ Beira Interior Inst Telecomunicacoes Rua Marques dAvila & Bolama P-6201001 Covilha Portugal

ISBN: (纸本)9781728125060

Blockchain has been used extensively for financial purposes, but this technology can also be beneficial in other contexts where multi-party cooperation, security and decentralization of the data is essential. Properties such as immutability, accessibility and non-repudiation and the existence of smart-contracts make blockchain technology very interesting in robotic contexts that require event registration or integration with Artificial Intelligence. In this paper, we propose a system that leverages blockchain as a ledger to register events and information to be processed by Oracles and uses smart-contracts to control robots by adjusting their velocity, or stopping them, if a person enters the robot working space without permission. We show how blockchain can be used in computer vision problems by interacting with multiple external parties, Oracles, that perform image analysis and how it is possible to use multiple smart-contracts for different tasks. The method proposed is shown in a scenario representing a factory environment, but since it is modular, it can be easily adapted and extended for other contexts, allowing for simple integration and maintenance.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Analysis of Deep Fusion Strategies for Multi-modal Gesture recognition 32

Analysis of Deep Fusion Strategies for Multi-modal Gesture R...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Roitberg, Alina Pollert, Tim Haurilet, Monica Martin, Manuel Stiefelhagen, Rainer Karlsruhe Inst Technol CV HCI Lab Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany

ISBN: (纸本)9781728125060

Video-based gesture recognition has a wide spectrum of applications, ranging from sign language understanding to driver monitoring in autonomous cars. As different sensors suffer from their individual limitations, combining multiple sources has strong potential to improve the results. A number of deep architectures have been proposed to recognize gestures from e.g. both color and depth data. However, these models conventionally comprise separate networks for each modality, which are then combined in the final layer (e.g. via simple score averaging). In this work, we take a closer look at different fusion strategies for gesture recognition especially focusing on the information exchange in the intermediate layers. We compare three fusion strategies on the widely used C3D architecture: 1) late fusion, combining the streams in the final layer;2) information exchange in an intermediate layer using an additional convolution layer;and 3) linking information at multiple layers simultaneously using the cross-stitch units, originally designed for multi-task learning. Our proposed C3D-Stitch model achieves the best recognition rate, demonstrating the effectiveness of sharing information at earlier stages.

关键词： Information dissemination

来源：评论

学校读者我要写书评

暂无评论

Segmentation-less and Non-holistic Deep-Learning Frameworks for Iris recognition 32

Segmentation-less and Non-holistic Deep-Learning Frameworks ...

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Proenca, Hugo Neves, Joao C. Univ Beira Interior IT Inst Telecomun Covilha Portugal

ISBN: (纸本)9781728125060

Driven by the pioneer iris biometrics approach, the most relevant recognition methods published over the years are "phase-based", and segment/normalize the iris to obtain dimensionless representations of the data that attenuate the differences in scale, translation, rotation and pupillary dilation. In this paper we present a recognition method that dispenses the iris segmentation, noise detection and normalization phases, and is agnostic to the levels ofpupillary dilation, while maintaining state-of-the-art performance. Based on deep-learning classification models, we analyze the displacements between biologically corresponding patches in pairs of iris images, to discriminate between genuine and impostor comparisons. Such corresponding patches are firstly learned in the normalized representations of the irises- the domain where they are optimally distinguishable- but are remapped into a segmentation-less polar coordinate system that uniquely requires iris detection. In recognition time, samples are only converted into this segmentation-less coordinate system, where matching is performed. In the experiments, we considered the challenging open-world setting, and used three well known data sets (CASIA-4-Lamp, CASIA-4-Thousand and WVU), concluding positively about the effectiveness of the proposed algorithm, particularly in cases where accurately segmenting the iris is a challenge.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

APA: Adaptive Pose Alignment for Robust Face recognition 32

APA: Adaptive Pose Alignment for Robust Face Recognition

引用

32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： An, Zhanfu Deng, Weihong Zhong, Yaoyao Huang, Yaohai Tao, Xunqiang Beijing Univ Posts & Telecommun Beijing Peoples R China Canon Informat Technol Beijing Co Ltd Beijing Peoples R China

ISBN: (纸本)9781728125060

In this paper, we propose a new face alignment method, called adaptive pose alignment (APA) which can greatly reduce the intra-class difference and correct the noise caused by the traditional method in the alignment process, especially in unconstrained settings. Instead of aligning all faces to the pre-defined, uniform frontal shape, we adaptively learn the alignment templates according to the facial poses and then align each face of training or testing sets to its related template. To further improve the face recognition performance, we propose a simple, yet effective feature normalization method which can generate more discriminative feature representation of a face or template combined with the APA method. Furthermore, we introduce a pose invariant face recognition pipeline that sequentially applies APA based alignment, deep representation by Softmax or Arcface, and the effective feature normalization procedure. We empirically show that APA based images can accelerate the training of deep face recognition model by aligning all the images to the optimal templates. Moreover, experiments show that the proposed method achieves the state-of-the-art performance on challenging IJB-A, IJB-C and CPLFW datasets.

关键词： Alignment

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 << < 114 115 116 117 118 119 120 121 122 123 > >>

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：