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

11,414 篇 会议
9 篇 期刊文献

馆藏范围

11,423 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,979 篇 工学
- 7,533 篇 计算机科学与技术...
- 805 篇 机械工程
- 401 篇 电气工程
- 390 篇 软件工程
- 231 篇 控制科学与工程
- 58 篇 光学工程
- 42 篇 生物工程
- 37 篇 信息与通信工程
- 19 篇 生物医学工程（可授...
- 14 篇 电子科学与技术（可...
- 13 篇 化学工程与技术
- 9 篇 安全科学与工程
- 7 篇 交通运输工程
- 6 篇 仪器科学与技术
- 4 篇 土木工程
- 3 篇 轻工技术与工程
3,137 篇 医学
- 3,137 篇 临床医学
- 8 篇 基础医学(可授医学...
- 5 篇 药学(可授医学、理...
- 4 篇 公共卫生与预防医...
307 篇 理学
- 200 篇 系统科学
- 63 篇 物理学
- 43 篇 生物学
- 30 篇 数学
- 15 篇 统计学（可授理学、...
- 14 篇 化学
29 篇 管理学
- 17 篇 图书情报与档案管...
- 13 篇 管理科学与工程(可...
- 5 篇 工商管理
3 篇 法学
- 3 篇 社会学
2 篇 教育学
2 篇 农学
1 篇 经济学
1 篇 艺术学

主题

5,612 篇 computer vision
2,584 篇 training
2,092 篇 pattern recognit...
1,682 篇 computational mo...
1,496 篇 visualization
1,343 篇 three-dimensiona...
1,098 篇 semantics
1,007 篇 benchmark testin...
1,005 篇 codes
927 篇 computer archite...
898 篇 deep learning
790 篇 task analysis
708 篇 feature extracti...
571 篇 conferences
563 篇 face recognition
520 篇 transformers
517 篇 neural networks
493 篇 object detection
476 篇 image segmentati...
452 篇 cameras

机构

172 篇 univ sci & techn...
150 篇 univ chinese aca...
148 篇 tsinghua univ pe...
145 篇 carnegie mellon ...
136 篇 chinese univ hon...
116 篇 peng cheng lab p...
106 篇 zhejiang univ pe...
97 篇 swiss fed inst t...
96 篇 sensetime res pe...
95 篇 tsinghua univers...
91 篇 shanghai ai lab ...
85 篇 shanghai jiao to...
83 篇 alibaba grp peop...
81 篇 peng cheng labor...
80 篇 zhejiang univers...
80 篇 stanford univ st...
78 篇 univ hong kong p...
77 篇 university of ch...
75 篇 australian natl ...
75 篇 tech univ munich...

作者

64 篇 timofte radu
60 篇 van gool luc
50 篇 zhang lei
44 篇 yang yi
39 篇 tao dacheng
35 篇 loy chen change
32 篇 tian qi
31 篇 zhou jie
31 篇 sun jian
30 篇 liu yang
29 篇 vasconcelos nuno
29 篇 qi tian
29 篇 zha zheng-jun
28 篇 chen chen
27 篇 boxin shi
26 篇 li xin
26 篇 luc van gool
26 篇 pollefeys marc
25 篇 liu xiaoming
25 篇 ying shan

语言

11,420 篇 英文
3 篇 其他

检索条件"任意字段=2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021"

共 11423 条记录，以下是151-160 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：

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression recognition

Dive into Ambiguity: Latent Distribution Mining and Pairwise...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： She, Jiahui Hu, Yibo Shi, Hailin Wang, Jun Shen, Qiu Mei, Tao Nanjing Univ Nanjing Jiangsu Peoples R China JD AI Res Mountain View CA USA

ISBN: (纸本)9781665445092

Due to the subjective annotation and the inherent interclass similarity of facial expressions, one of key challenges in Facial Expression recognition (FER) is the annotation ambiguity. In this paper;we proposes a solution, named DMUE, to address the problem of annotation ambiguity from two perspectives: the latent Distribution Mining and the pairwise Uncertainty Estimation. For the former;an auxiliary multi-branch learning framework is introduced to better mine and describe the latent distribution in the label space. For the latter, the pairwise relationship of semantic feature between instances are fully exploited to estimate the ambiguity extent in the instance space. The proposed method is independent to the backbone architectures, and brings no extra burden for inference. The experiments are conducted on the popular real-world benchmarks and the synthetic noisy datasets. Either way, the proposed DMUE stably achieves leading performance.

关键词： computer vision Uncertainty Annotations Face recognition Semantics Estimation computer architecture

来源：评论

学校读者我要写书评

暂无评论

EnD: Entangling and Disentangling deep representations for bias correction

EnD: Entangling and Disentangling deep representations for b...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Tartaglione, Enzo Barbano, Carlo Alberto Grangetto, Marco Univ Turin Comp Sci Dept Turin Italy

ISBN: (纸本)9781665445092

Artificial neural networks perform state-of-the-art in an ever-growing number of tasks, and nowadays they are used to solve an incredibly large variety of tasks. There are problems, like the presence of biases in the training data, which question the generalization capability of these models. In this work we propose EnD, a regularization strategy whose aim is to prevent deep models from learning unwanted biases. In particular, we insert an "information bottleneck" at a certain point of the deep neural network, where we disentangle the information about the bias, still letting the useful information for the training task forward-propagating in the rest of the model. One big advantage of EnD is that it does not require additional training complexity (like decoders or extra layers in the model), since it is a regularizer directly applied on the trained model. Our experiments show that EnD effectively improves the generalization on unbiased test sets, and it can be effectively applied on realcase scenarios, like removing hidden biases in the COVID19 detection from radiographic images.

关键词： Training COVID-19 Radiography Deep learning computer vision Training data Data models

来源：评论

学校读者我要写书评

暂无评论

Harmonious Semantic Line Detection via Maximal Weight Clique Selection

Harmonious Semantic Line Detection via Maximal Weight Clique...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Jin, Dongkwon Park, Wonhui Jeong, Seong-Gyun Kim, Chang-Su Korea Univ Seoul South Korea 42Dot Ai Seoul South Korea

ISBN: (纸本)9781665445092

A novel algorithm to detect an optimal set of semantic lines is proposed in this work. We develop two networks: selection network (S-Net) and harmonization network (H-Net). First, S-Net computes the probabilities and offsets of line candidates. Second, we filter out irrelevant lines through a selection-and-removal process. Third, we construct a complete graph, whose edge weights are computed by H-Net. Finally, we determine a maximal weight clique representing an optimal set of semantic lines. Moreover, to assess the overall harmony of detected lines, we propose a novel metric, called HIoU. Experimental results demonstrate that the proposed algorithm can detect harmonious semantic lines effectively and efficiently. Our codes are available at https://***/dongkwonjin/Semantic-Line-MWCS.

关键词： Measurement computer vision Codes Image edge detection Semantics Detectors Filtering algorithms

来源：评论

学校读者我要写书评

暂无评论

Facial Action Unit Detection With Transformers

Facial Action Unit Detection With Transformers

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Jacob, Geethu Miriam Stenger, Bjorn Rakuten Inst Technol Tokyo Japan

ISBN: (纸本)9781665445092

The Facial Action Coding System is a taxonomy for fine-grained facial expression analysis. This paper proposes a method for detecting Facial Action Units (FAU), which define particular face muscle activity, from an input image. FAU detection is formulated as a multi-task learning problem, where image features and attention maps are input to a branch for each action unit to extract discriminative feature embeddings, using a new loss function, the center contrastive (CC) loss. We employ a new FAU correlation network, based on a transformer encoder architecture, to capture the relationships between different action units for the wide range of expressions in the training data. The resulting features are shown to yield high classification performance. We validate our design choices, including the use of CC-loss and Tversky loss functions, in ablative experiments. We show that the proposed method outperforms state-of-the-art techniques on two public datasets, BP4D and DISFA, with an absolute improvement of the F I-score of over 2% on each.

关键词： Correlation Face recognition Taxonomy Training data computer architecture Muscles Transformers

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Disentanglement of Linear-Encoded Facial Semantics

Unsupervised Disentanglement of Linear-Encoded Facial Semant...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Zheng, Yutong Huang, Yu-Kai Tao, Ran Shen, Zhiqiang Savvides, Marios Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781665445092

We propose a method to disentangle linear-encoded facial semantics from StyleGAN without external supervision. The method derives from linear regression and sparse representation learning concepts to make the disentangled latent representations easily interpreted as well. We start by coupling StyleGAN with a stabilized 3D deformable facial reconstruction method to decompose single-view GAN generations into multiple semantics. Latent representations are then extracted to capture interpretable facial semantics. In this work, we make it possible to get rid of labels for disentangling meaningful facial semantics. Also, we demonstrate that the guided extrapolation along the disentangled representations can help with data augmentation, which sheds light on handling unbalanced data. Finally, we provide an analysis of our learned localized facial representations and illustrate that the semantic information is encoded, which surprisingly complies with human intuition. The overall unsupervised design brings more flexibility to representation learning in the wild.

关键词： Couplings Extrapolation computer vision Three-dimensional displays Semantics Linear regression Reconstruction algorithms

来源：评论

学校读者我要写书评

暂无评论

Attention! Stay Focus!

Attention! Stay Focus!

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Vo, Tu BridgeAI Inc Seoul South Korea

ISBN: (纸本)9781665448994

We develop a deep convolutional neural networks (CNNs) to deal with the blurry artifacts caused by the defocus of the camera using dual-pixel images. Specifically, we develop a double attention network which consists of attentional encoders, triple locals and global local modules to effectively extract useful information from each image in the dual-pixels and select the useful information from each image and synthesize the final output image. We demonstrate the effectiveness of the proposed deblurring algorithm in terms of both qualitative and quantitative aspects by evaluating on the test set in the NTIRE 2021 Defocus Deblurring using Dual-pixel Images Challenge [1] [4].

关键词： Deep learning computer vision conferences computer architecture Feature extraction Cameras Decoding

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders

Unsupervised Hyperbolic Representation Learning via Message ...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Park, Jiwoong Cho, Junho Chang, Hyung Jin Choi, Jin Young Seoul Natl Univ Dept ECE ASRI Seoul South Korea Univ Birmingham Sch Comp Sci Birmingham W Midlands England

ISBN: (纸本)9781665445092

Most of the existing literature regarding hyperbolic embedding concentrate upon supervised learning, whereas the use of unsupervised hyperbolic embedding is less well explored. In this paper, we analyze how unsupervised tasks can benefit from learned representations in hyperbolic space. To explore how well the hierarchical structure of unlabeled data can be represented in hyperbolic spaces, we design a novel hyperbolic message passing auto-encoder whose overall auto-encoding is performed in hyperbolic space. The proposed model conducts auto-encoding the networks via fully utilizing hyperbolic geometry in message passing. Through extensive quantitative and qualitative analyses, we validate the properties and benefits of the unsupervised hyperbolic representations.

关键词： Geometry Visualization computer vision Codes Message passing Supervised learning Space exploration

来源：评论

学校读者我要写书评

暂无评论

An Alternative Probabilistic Interpretation of the Huber Loss

An Alternative Probabilistic Interpretation of the Huber Los...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Meyer, Gregory P. Uber Adv Technol Grp Pittsburgh PA 15201 USA

ISBN: (纸本)9781665445092

The Huber loss is a robust loss function used for a wide range of regression tasks. To utilize the Huber loss, a parameter that controls the transitions from a quadratic function to an absolute value function needs to be selected. We believe the standard probabilistic interpretation that relates the Huber loss to the Huber density fails to provide adequate intuition for identifying the transition point. As a result, a hyper-parameter search is often necessary to determine an appropriate value. In this work, we propose an alternative probabilistic interpretation of the Huber loss, which relates minimizing the loss to minimizing an upper-bound on the Kullback-Leibler divergence between Laplace distributions, where one distribution represents the noise in the ground-truth and the other represents the noise in the prediction. In addition, we show that the parameters of the Laplace distributions are directly related to the transition point of the Huber loss. We demonstrate, through a toy problem, that the optimal transition point of the Huber loss is closely related to the distribution of the noise in the ground-truth data. As a result, our interpretation provides an intuitive way to identify well-suited hyper-parameters by approximating the amount of noise in the data, which we demonstrate through a case study and experimentation on the Faster R-CNN and RetinaNet object detectors.

关键词： computer vision Toy manufacturing industry Detectors Probabilistic logic Search problems pattern recognition Object recognition

来源：评论

学校读者我要写书评

暂无评论

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neu...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Williams, Francis Trager, Matthew Bruna, Joan Zorin, Denis NYU New York NY 10003 USA Amazon Seattle WA USA

ISBN: (纸本)9781665445092

We present Neural Splines, a technique for 3D surface reconstruction that is based on random feature kernels arising from infinitely-wide shallow ReLU networks. Our method achieves state-of-the-art results, outperforming recent neural network-based techniques and widely used Poisson Surface Reconstruction (which, as we demonstrate, can also be viewed as a type of kernel method). Because our approach is based on a simple kernel formulation, it is easy to analyze and can be accelerated by general techniques designed for kernel-based learning. We provide explicit analytical expressions for our kernel and argue that our formulation can be seen as a generalization of cubic spline interpolation to higher dimensions. In particular, the RKHS norm associated with Neural Splines biases toward smooth interpolants.

关键词： Surface reconstruction Interpolation computer vision Three-dimensional displays Neural networks Fitting Surface fitting

来源：评论

学校读者我要写书评

暂无评论

Coarse-Fine Networks for Temporal Activity Detection in Videos

Coarse-Fine Networks for Temporal Activity Detection in Vide...

引用

ieee/cvf conference on computer vision and pattern recognition (cvpr)

作者： Kahatapitiya, Kumara Ryoo, Michael S. SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)9781665445092

In this paper, we introduce Coarse-Fine Networks, a two-stream architecture which benefits from different abstractions of temporal resolution to learn better video representations for long-term motion. Traditional Video models process inputs at one (or few) fixed temporal resolution without any dynamic frame selection. However, we argue that, processing multiple temporal resolutions of the input and doing so dynamically by learning to estimate the importance of each frame can largely improve video representations, specially in the domain of temporal activity localization. To this end we propose (1) 'Grid Pool', a learned temporal downsampling layer to extract coarse features, and, (2) 'Multi-stage Fusion', a spatio-temporal attention mechanism to fitse a fine-grained context with the coarse features. We show that our method outperforms the state-of-the-arts for action detection in public datasets including Charades with a significantly reduced compute and memory footprint.

关键词： Location awareness computer vision Codes Fuses Dynamics computer architecture Feature extraction

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 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：