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

19,636 篇 会议
48 篇 期刊文献
3 册 图书

馆藏范围

19,686 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

12,586 篇 工学
- 10,354 篇 计算机科学与技术...
- 2,449 篇 机械工程
- 2,010 篇 软件工程
- 815 篇 光学工程
- 598 篇 电气工程
- 433 篇 控制科学与工程
- 329 篇 信息与通信工程
- 211 篇 测绘科学与技术
- 80 篇 生物医学工程（可授...
- 75 篇 生物工程
- 69 篇 电子科学与技术（可...
- 67 篇 仪器科学与技术
- 37 篇 建筑学
- 36 篇 土木工程
- 34 篇 力学（可授工学、理...
- 31 篇 航空宇航科学与技...
- 29 篇 安全科学与工程
- 23 篇 交通运输工程
- 21 篇 化学工程与技术
- 20 篇 材料科学与工程（可...
3,435 篇 医学
- 3,434 篇 临床医学
1,980 篇 理学
- 1,001 篇 数学
- 972 篇 物理学
- 356 篇 统计学（可授理学、...
- 340 篇 生物学
- 235 篇 系统科学
- 26 篇 化学
262 篇 管理学
- 141 篇 管理科学与工程(可...
- 124 篇 图书情报与档案管...
- 26 篇 工商管理
19 篇 法学
12 篇 农学
8 篇 教育学
6 篇 经济学
4 篇 艺术学
2 篇 军事学

主题

7,948 篇 computer vision
2,773 篇 training
2,711 篇 pattern recognit...
1,771 篇 computational mo...
1,660 篇 visualization
1,426 篇 cameras
1,383 篇 three-dimensiona...
1,345 篇 shape
1,236 篇 face recognition
1,222 篇 feature extracti...
1,213 篇 image segmentati...
1,117 篇 robustness
1,094 篇 semantics
977 篇 layout
960 篇 object detection
946 篇 benchmark testin...
944 篇 computer archite...
931 篇 codes
896 篇 computer science
861 篇 deep learning

机构

174 篇 univ sci & techn...
159 篇 carnegie mellon ...
148 篇 univ chinese aca...
144 篇 chinese univ hon...
109 篇 microsoft resear...
103 篇 zhejiang univ pe...
103 篇 tsinghua univ pe...
99 篇 swiss fed inst t...
92 篇 tsinghua univers...
89 篇 microsoft res as...
88 篇 shanghai ai lab ...
81 篇 zhejiang univers...
76 篇 alibaba grp peop...
74 篇 university of sc...
73 篇 hong kong univ s...
73 篇 university of ch...
72 篇 peking univ peop...
68 篇 shanghai jiao to...
66 篇 univ oxford oxfo...
65 篇 google res mount...

作者

79 篇 van gool luc
70 篇 zhang lei
60 篇 timofte radu
48 篇 yang yi
48 篇 luc van gool
46 篇 xiaoou tang
43 篇 darrell trevor
43 篇 tian qi
42 篇 loy chen change
42 篇 sun jian
42 篇 li fei-fei
40 篇 li stan z.
39 篇 qi tian
36 篇 chen xilin
36 篇 torralba antonio
35 篇 vasconcelos nuno
35 篇 shan shiguang
35 篇 liu yang
34 篇 liu xiaoming
34 篇 tao dacheng

语言

19,681 篇 英文
3 篇 中文
2 篇 日文
1 篇 其他

检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015"

共 19687 条记录，以下是711-720 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：

DVMSR: Distillated vision Mamba for Efficient Super-Resolution

DVMSR: Distillated Vision Mamba for Efficient Super-Resoluti...

引用

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

作者： Lei, Xiaoyan Zhang, Wenlong Cao, Weifeng Zhengzhou Univ Light Ind Zhengzhou Peoples R China HongKong Polytech Univ Hong Kong Peoples R China

ISBN: (纸本)9798350365474

Efficient Image Super-Resolution (SR) aims to accelerate SR network inference by minimizing computational complexity and network parameters while preserving performance. Existing state-of-the-art Efficient Image Super-Resolution methods are based on convolutional neural networks. Few attempts have been made with Mamba to harness its long-range modeling capability and efficient computational complexity, which have shown impressive performance on high-level vision tasks. In this paper, we propose DVMSR, a novel lightweight Image SR network that incorporates vision Mamba and a distillation strategy. The network of DVMSR consists of three modules: feature extraction convolution, multiple stacked Residual State Space Blocks (RSSBs), and a reconstruction module. Specifically, the deep feature extraction module is composed of several residual state space blocks (RSSB), each of which has several vision Mamba Moudles(ViMM) together with a residual connection. To achieve efficiency improvement while maintaining comparable performance, we employ a distillation strategy to the vision Mamba network for superior performance. Specifically, we leverage the rich representation knowledge of teacher network as additional supervision for the output of lightweight student networks. Extensive experiments have demonstrated that our proposed DVMSR can outperform state-of-the-art efficient SR methods in terms of model parameters while maintaining the performance of both PSNR and SSIM. The source code is available at https://***/nathan66666/***

关键词： Efficient Image Super-Resolution vision Mamba

来源：评论

学校读者我要写书评

暂无评论

Zero-Shot Dual-Lens Super-Resolution

Zero-Shot Dual-Lens Super-Resolution

引用

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

作者： Xu, Ruikang Yao, Mingde Xiong, Zhiwei Univ Sci & Technol China Hefei Anhui Peoples R China

ISBN: (纸本)9798350301298

The asymmetric dual-lens configuration is commonly available on mobile devices nowadays, which naturally stores a pair of wide-angle and telephoto images of the same scene to support realistic super-resolution (SR). Even on the same device, however, the degradation for modeling realistic SR is image-specific due to the unknown acquisition process (e.g., tiny camera motion). In this paper, we propose a zero-shot solution for dual-lens SR (ZeDuSR), where only the dual-lens pair at test time is used to learn an image-specific SR model. As such, ZeDuSR adapts itself to the current scene without using external training data, and thus gets rid of generalization difficulty. However, there are two major challenges to achieving this goal: 1) dual-lens alignment while keeping the realistic degradation, and 2) effective usage of highly limited training data. To overcome these two challenges, we propose a degradation-invariant alignment method and a degradation-aware training strategy to fully exploit the information within a single dual-lens pair. Extensive experiments validate the superiority of ZeDuSR over existing solutions on both synthesized and realworld dual-lens datasets. The implementation code is available at https://***/XrKang/ZeDuSR.

关键词： Low-level vision

来源：评论

学校读者我要写书评

暂无评论

Deep Random Projector: Accelerated Deep Image Prior

Deep Random Projector: Accelerated Deep Image Prior

引用

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

作者： Li, Taihui Wang, Hengkang Zhuang, Zhong Sun, Ju Univ Minnesota Comp Sci & Engn Minneapolis MN 55455 USA Univ Minnesota Elect & Comp Engn Minneapolis MN USA

ISBN: (纸本)9798350301298

Deep image prior (DIP) has shown great promise in tackling a variety of image restoration (IR) and general visual inverse problems, needing no training data. However, the resulting optimization process is often very slow, inevitably hindering DIP's practical usage for time-sensitive scenarios. In this paper, we focus on IR, and propose two crucial modifications to DIP that help achieve substantial speedup: 1) optimizing the DIP seed while freezing randomly-initialized network weights, and 2) reducing the network depth. In addition, we reintroduce explicit priors, such as sparse gradient prior-encoded by total-variation regularization, to preserve the DIP peak performance. We evaluate the proposed method on three IR tasks, including image denoising, image super-resolution, and image inpainting, against the original DIP and variants, as well as the competing metaDIP that uses meta-learning to learn good initializers with extra data. Our method is a clear winner in obtaining competitive restoration quality in a minimal amount of time. Our code is available at https://***/sun-umn/Deep-Random-Projector.

关键词： vision applications and systems

来源：评论

学校读者我要写书评

暂无评论

Gloss Attention for Gloss-free Sign Language Translation

Gloss Attention for Gloss-free Sign Language Translation

引用

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

作者： Yin, Aoxiong Zhong, Tianyun Tang, Li Jin, Weike Jin, Tao Zhao, Zhou Zhejiang Univ Hangzhou Peoples R China

ISBN: (纸本)9798350301298

Most sign language translation (SLT) methods to date require the use of gloss annotations to provide additional supervision information, however, the acquisition of gloss is not easy. To solve this problem, we first perform an analysis of existing models to confirm how gloss annotations make SLT easier. We find that it can provide two aspects of information for the model, 1) it can help the model implicitly learn the location of semantic boundaries in continuous sign language videos, 2) it can help the model understand the sign language video globally. We then propose gloss attention, which enables the model to keep its attention within video segments that have the same semantics locally, just as gloss helps existing models do. Furthermore, we transfer the knowledge of sentence-to-sentence similarity from the natural language model to our gloss attention SLT network (GASLT) to help it understand sign language videos at the sentence level. Experimental results on multiple large-scale sign language datasets show that our proposed GASLT model significantly outperforms existing methods. Our code is provided in https://***/YinAoXiong/GASLT.

关键词： language reasoning vision

来源：评论

学校读者我要写书评

暂无评论

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

Adaptive Spot-Guided Transformer for Consistent Local Featur...

引用

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

作者： Yu, Jiahuan Chang, Jiahao He, Jianfeng Zhang, Tianzhu Yu, Jiyang Wu, Feng Univ Sci & Technol China Hefei Anhui Peoples R China Deep Space Explorat Lab Nanjing Jiangsu Peoples R China China Acad Space Technol Beijing Peoples R China

ISBN: (纸本)9798350301298

Local feature matching aims at finding correspondences between a pair of images. Although current detector-free methods leverage Transformer architecture to obtain an impressive performance, few works consider maintaining local consistency. Meanwhile, most methods struggle with large scale variations. To deal with the above issues, we propose Adaptive Spot-Guided Transformer (ASTR) for local feature matching, which jointly models the local consistency and scale variations in a unified coarse-to-fine architecture. The proposed ASTR enjoys several merits. First, we design a spot-guided aggregation module to avoid interfering with irrelevant areas during feature aggregation. Second, we design an adaptive scaling module to adjust the size of grids according to the calculated depth information at fine stage. Extensive experimental results on five standard benchmarks demonstrate that our ASTR performs favorably against state-of-the-art methods. Our code will be released on https://***.

关键词： Low-level vision

来源：评论

学校读者我要写书评

暂无评论

Context-Based Trit-Plane Coding for Progressive Image Compression

Context-Based Trit-Plane Coding for Progressive Image Compre...

引用

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

作者： Jeon, Seungmin Choi, Kwang Pyo Park, Youngo Kim, Chang-Su Korea Univ Seoul South Korea Samsung Elect Seoul South Korea

ISBN: (纸本)9798350301298

Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models. In this paper, we propose the context-based trit-plane coding (CTC) algorithm to achieve progressive compression more compactly. First, we develop the context-based rate reduction module to estimate trit probabilities of latent elements accurately and thus encode the trit-planes compactly. Second, we develop the context-based distortion reduction module to refine partial latent tensors from the trit-planes and improve the reconstructed image quality. Third, we propose a retraining scheme for the decoder to attain better rate-distortion tradeoffs. Extensive experiments show that CTC outperforms the baseline trit-plane codec significantly, e.g. by -14.84% in BD-rate on the Kodak lossless dataset, while increasing the time complexity only marginally. The source codes are available at https://***/seungminjeon-github/CTC.

关键词： Low-level vision

来源：评论

学校读者我要写书评

暂无评论

Adaptive Human Matting for Dynamic Videos

Adaptive Human Matting for Dynamic Videos

引用

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

作者： Lin, Chung-Ching Wang, Jiang Luo, Kun Lin, Kevin Li, Linjie Wang, Lijuan Liu, Zicheng Microsoft Redmond WA 98052 USA

ISBN: (纸本)9798350301298

The most recent efforts in video matting have focused on eliminating trimap dependency since trimap annotations are expensive and trimap-based methods are less adaptable for real-time applications. Despite the latest tripmap-free methods showing promising results, their performance often degrades when dealing with highly diverse and unstructured videos. We address this limitation by introducing Adaptive Matting for Dynamic Videos, termed AdaM, which is a framework designed for simultaneously differentiating foregrounds from backgrounds and capturing alpha matte details of human subjects in the foreground. Two interconnected network designs are employed to achieve this goal: (1) an encoder-decoder network that produces alpha mattes and intermediate masks which are used to guide the transformer in adaptively decoding foregrounds and backgrounds, and (2) a transformer network in which long- and short-term attention combine to retain spatial and temporal contexts, facilitating the decoding of foreground details. We benchmark and study our methods on recently introduced datasets, showing that our model notably improves matting realism and temporal coherence in complex real-world videos and achieves new best-in-class generalizability. Further details and examples are available at https://***/microsoft/AdaM.

关键词： vision applications and systems

来源：评论

学校读者我要写书评

暂无评论

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Diffusion Art or Digital Forgery? Investigating Data Replica...

引用

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

作者： Somepalli, Gowthami Singla, Vasu Goldblum, Micah Geiping, Jonas Goldstein, Tom Univ Maryland College Pk MD 20742 USA NYU New York NY USA

ISBN: (纸本)9798350301298

Cutting-edge diffusion models produce images with high quality and customizability, enabling them to be used for commercial art and graphic design purposes. But do diffusion models create unique works of art, or are they replicating content directly from their training sets? In this work, we study image retrieval frameworks that enable us to compare generated images with training samples and detect when content has been replicated. Applying our frameworks to diffusion models trained on multiple datasets including Oxford flowers, Celeb-A, ImageNet, and LAION, we discuss how factors such as training set size impact rates of content replication. We also identify cases where diffusion models, including the popular Stable Diffusion model, blatantly copy from their training data. Project page: https://***/***

关键词： accountability ethics in vision fairness privacy Transparency

来源：评论

学校读者我要写书评

暂无评论

Exploring the Benefits of vision Foundation Models for Unsupervised Domain Adaptation

Exploring the Benefits of Vision Foundation Models for Unsup...

引用

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

作者： Englert, Bruno B. Piva, Fabrizio J. Kerssies, Tommie de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9798350365474

Achieving robust generalization across diverse data domains remains a significant challenge in computer vision. This challenge is important in safety-critical applications, where deep-neural-network-based systems must perform reliably under various environmental conditions not seen during training. Our study investigates whether the generalization capabilities of vision Foundation Models (VFMs) and Unsupervised Domain Adaptation (UDA) methods for the semantic segmentation task are complementary. Results show that combining VFMs with UDA has two main benefits: (a) it allows for better UDA performance while maintaining the out-of-distribution performance of VFMs, and (b) it makes certain time-consuming UDA components redundant, thus enabling significant inference speedups. Specifically, with equivalent model sizes, the resulting VFM-UDA method achieves an 8.4x speed increase over the prior non-VFM state of the art, while also improving performance by +1.2 mIoU in the UDA setting and by +6.1 mIoU in terms of out-of-distribution generalization. Moreover, when we use a VFM with 3.6x more parameters, the VFM-UDA approach maintains a 3.3x speed up, while improving the UDA performance by +3.1 mIoU and the out-of-distribution performance by +10.3 mIoU. These results underscore the significant benefits of combining VFMs with UDA, setting new standards and baselines for Unsupervised Domain Adaptation in semantic segmentation. The implementation is available at https://***/tue-mps/vfmuda.

关键词： foundation model generalization semantic segmentation unsupervised domain adaptation vision foundation model

来源：评论

学校读者我要写书评

暂无评论

DINER: Disorder-Invariant Implicit Neural Representation

DINER: Disorder-Invariant Implicit Neural Representation

引用

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

作者： Xie, Shaowen Zhu, Hao Liu, Zhen Zhang, Qi Zhou, You Cao, Xun Ma, Zhan Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China Tencent Co Al Lab Shenzhen 518054 Peoples R China

ISBN: (纸本)9798350301298

Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problems. However, the capacity of INR is limited by the spectral bias in the network training. In this paper, we find that such a frequency-related problem could be largely solved by re-arranging the coordinates of the input signal, for which we propose the disorder-invariant implicit neural representation (DINER) by augmenting a hash-table to a traditional INR backbone. Given discrete signals sharing the same histogram of attributes and different arrangement orders, the hash-table could project the coordinates into the same distribution for which the mapped signal can be better modeled using the subsequent INR network, leading to significantly alleviated spectral bias. Experiments not only reveal the generalization of the DINER for different INR backbones (MLP vs. SIREN) and various tasks (image/video representation, phase retrieval, and refractive index recovery) but also show the superiority over the state-of-the-art algorithms both in quality and speed. Project page: https://***/DINER-website/

关键词： Low-level vision

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 << < 68 69 70 71 72 73 74 75 76 77 > >>

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：