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

17,064 篇 会议
72 篇 期刊文献
16 册 图书

馆藏范围

17,152 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,848 篇 工学
- 8,722 篇 计算机科学与技术...
- 4,145 篇 软件工程
- 3,358 篇 电气工程
- 2,102 篇 光学工程
- 1,636 篇 信息与通信工程
- 1,634 篇 控制科学与工程
- 1,155 篇 机械工程
- 1,023 篇 生物工程
- 547 篇 生物医学工程（可授...
- 434 篇 安全科学与工程
- 415 篇 电子科学与技术（可...
- 409 篇 仪器科学与技术
- 355 篇 交通运输工程
- 211 篇 化学工程与技术
- 201 篇 建筑学
- 197 篇 土木工程
- 177 篇 网络空间安全
3,522 篇 理学
- 2,302 篇 物理学
- 1,148 篇 数学
- 1,078 篇 生物学
- 322 篇 统计学（可授理学、...
- 281 篇 化学
- 167 篇 系统科学
2,751 篇 医学
- 2,683 篇 临床医学
- 297 篇 基础医学(可授医学...
- 203 篇 药学(可授医学、理...
1,233 篇 管理学
- 785 篇 管理科学与工程(可...
- 537 篇 图书情报与档案管...
- 280 篇 工商管理
173 篇 法学
- 162 篇 社会学
128 篇 农学
103 篇 经济学
84 篇 教育学
59 篇 艺术学
42 篇 军事学
29 篇 文学

主题

7,025 篇 computer vision
1,567 篇 training
1,216 篇 computational mo...
1,190 篇 cameras
996 篇 visualization
966 篇 computer archite...
947 篇 feature extracti...
845 篇 three-dimensiona...
822 篇 deep learning
781 篇 conferences
769 篇 image segmentati...
764 篇 object detection
707 篇 application soft...
523 篇 robustness
483 篇 algorithms
450 篇 benchmark testin...
432 篇 neural networks
430 篇 task analysis
389 篇 semantics
386 篇 accuracy

机构

45 篇 carnegie mellon ...
35 篇 swiss fed inst t...
32 篇 australian natl ...
30 篇 univ maryland co...
29 篇 university of ch...
29 篇 korea adv inst s...
28 篇 tech univ munich...
27 篇 adobe research
27 篇 tsinghua univ pe...
26 篇 zhejiang univers...
26 篇 shanghai jiao to...
25 篇 tsinghua univers...
25 篇 mit cambridge ma...
24 篇 univ chinese aca...
24 篇 univ tokyo
24 篇 imperial coll lo...
24 篇 adobe res san jo...
23 篇 microsoft resear...
23 篇 chinese univ hon...
22 篇 georgia inst tec...

作者

34 篇 van gool luc
30 篇 chen chen
27 篇 luc van gool
19 篇 horst bischof
17 篇 timofte radu
14 篇 torralba antonio
14 篇 rama chellappa
13 篇 liu yang
13 篇 darrell trevor
12 篇 escalera sergio
12 篇 vittorio murino
12 篇 samaras dimitris
12 篇 caputo barbara
12 篇 anon
11 篇 a. aydın alatan
11 篇 rahtu esa
11 篇 murino vittorio
11 篇 stiefelhagen rai...
11 篇 wang yang
10 篇 singh vikas

语言

16,564 篇 英文
501 篇 其他
50 篇 土耳其文
34 篇 中文
3 篇 葡萄牙文

检索条件"任意字段=IEEE Conference on Applications of Computer Vision"

共 17152 条记录，以下是41-50 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：

Joint Depth Prediction and Semantic Segmentation with Multi-View SAM

Joint Depth Prediction and Semantic Segmentation with Multi-...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Shvets, Mykhailo Zhao, Dongxu Niethammer, Marc Sengupta, Roni Berg, Alexander C. Univ North Carolina Chapel Hill NC 27515 USA Univ Calif Irvine Irvine CA USA

ISBN: (纸本)9798350318920;9798350318937

Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view are inherently limited, while multiple views are available in many robotics applications. On the other end of the spectrum, video-based and full 3D methods require numerous frames to perform reconstruction and segmentation. With this work we propose a Multi-View Stereo (MVS) technique for depth prediction that benefits from rich semantic features of the Segment Anything Model (SAM). This enhanced depth prediction, in turn, serves as a prompt to our Transformer-based semantic segmentation decoder. We report the mutual benefit that both tasks enjoy in our quantitative and qualitative studies on the ScanNet dataset. Our approach consistently outperforms single-task MVS and segmentation models, along with multi-task monocular methods.

关键词： 3D computer vision Algorithms Algorithms Image recognition and understanding

来源：评论

学校读者我要写书评

暂无评论

SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling

SOAP: Cross-sensor Domain Adaptation for 3D Object Detection...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Huang, Chengjie Abdelzad, Vandat Sedwards, Sean Czarnecki, Krzysztof Univ Waterloo Waterloo ON Canada

ISBN: (纸本)9798350318920;9798350318937

We consider the problem of cross-sensor domain adaptation in the context of LiDAR-based 3D object detection and propose Stationary Object Aggregation Pseudo-labelling (SOAP) to generate high quality pseudo-labels for stationary objects. In contrast to the current state-of-the-art in-domain practice of aggregating just a few input scans, SOAP aggregates entire sequences of point clouds at the input level to reduce the sensor domain gap. Then, by means of what we call quasi-stationary training and spatial consistency post-processing, the SOAP model generates accurate pseudo-labels for stationary objects, closing a minimum of 30.3% domain gap compared to few-frame detectors. Our results also show that state-of-the-art domain adaptation approaches can achieve even greater performance in combination with SOAP, in both the unsupervised and semi-supervised settings.

关键词： 3D computer vision Algorithms applications Autonomous Driving

来源：评论

学校读者我要写书评

暂无评论

Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space

Occlusion Sensitivity Analysis with Augmentation Subspace Pe...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Valois, Pedro H. V. Niinuma, Koichiro Fukui, Kazuhiro Univ Tsukuba Tsukuba Ibaraki 305 Japan Fujitsu Res Amer Santa Clara CA USA

ISBN: (纸本)9798350318920;9798350318937

Deep Learning of neural networks has gained prominence in multiple life-critical applications like medical diagnoses and autonomous vehicle accident investigations. However, concerns about model transparency and biases persist. Explainable methods are viewed as the solution to address these challenges. In this study, we introduce the Occlusion Sensitivity Analysis with Deep Feature Augmentation Subspace (OSA-DAS), a novel perturbation-based interpretability approach for computer vision. While traditional perturbation methods make only use of occlusions to explain the model predictions, OSA-DAS extends standard occlusion sensitivity analysis by enabling the integration with diverse image augmentations. Distinctly, our method utilizes the output vector of a DNN to build low-dimensional subspaces within the deep feature vector space, offering a more precise explanation of the model prediction. The structural similarity between these subspaces encompasses the influence of diverse augmentations and occlusions. We test extensively on the ImageNet-1k, and our class- and model-agnostic approach outperforms commonly used interpreters, setting it apart in the realm of explainable AI.

关键词： accountable Algorithms Algorithms applications ethical computer vision Explainable fair Image recognition and understanding privacy-preserving Visualization

来源：评论

学校读者我要写书评

暂无评论

vision Transformer for Multispectral Satellite Imagery: Advancing Landcover Classification

Vision Transformer for Multispectral Satellite Imagery: Adva...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Rad, Ryan Northeastern Univ Khoury Coll Comp Sci Boston MA 02115 USA

ISBN: (纸本)9798350318920;9798350318937

Climate change is a global issue with significant impacts on ecosystems and human populations. Accurately classifying land cover from multi-spectral satellite imagery plays a crucial role in understanding the Earth's changing landscape and its implications for environmental processes. However, traditional methods struggle with challenges like limited data availability and capturing complex spatial-spectral relationships. vision Transformers have emerged as a promising alternative to convolutional neural networks (CNN architectures), harnessing the power of self-attention mechanisms to capture global and long-range dependencies. However, their application to multi-spectral images is still limited. In this paper, we propose a novel vision Transformer designed for multi-spectral satellite image datasets of limited size to perform reliable land cover identification with forty-four classes. We conduct extensive experiments on a curated dataset, simulating scenarios with limited data availability, and compare our approach to alternative architectures. The results demonstrate the potential of our vision Transformer-based method in achieving accurate land cover classification, contributing to improving climate change modeling and environmental understanding.

关键词： Algorithms applications applications Environmental monitoring / climate change / ecology Image recognition and understanding Remote Sensing

来源：评论

学校读者我要写书评

暂无评论

Polarimetric PatchMatch Multi-View Stereo

Polarimetric PatchMatch Multi-View Stereo

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Zhao, Jinyu Oishi, Jumpei Monno, Yusuke Okutomi, Masatoshi Tokyo Inst Technol Tokyo Japan

ISBN: (纸本)9798350318920;9798350318937

PatchMatch Multi-View Stereo (PatchMatch MVS) is one of the popular MVS approaches, owing to its balanced accuracy and efficiency. In this paper, we propose Polarimetric PatchMatch multi-view Stereo (PolarPMS), which is the first method exploiting polarization cues to PatchMatch MVS. The key of PatchMatch MVS is to generate depth and normal hypotheses, which form local 3D planes and slanted stereo matching windows, and efficiently search for the best hypothesis based on the consistency among multi-view images. In addition to standard photometric consistency, our PolarPMS evaluates polarimetric consistency to assess the validness of a depth and normal hypothesis, motivated by the physical property that the polarimetric information is related to the object's surface normal. Experimental results demonstrate that our PolarPMS can improve the accuracy and the completeness of reconstructed 3D models, especially for texture-less surfaces, compared with state-of-the-art PatchMatch MVS methods.

关键词： 3D computer vision Algorithms Algorithms Low-level and physics-based vision

来源：评论

学校读者我要写书评

暂无评论

Context in Human Action through Motion Complementarity

Context in Human Action through Motion Complementarity

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Dessalene, Eadom Maynord, Michael Fermuller, Cornelia Aloimonos, Yiannis Univ Maryland College Pk MD 20742 USA

ISBN: (纸本)9798350318920;9798350318937

Motivated by Goldman's Theory of Human Action - a framework in which action decomposes into 1) base physical movements, and 2) the context in which they occur - we propose a novel learning formulation for motion and context, where context is derived as the complement to motion. More specifically, we model physical movement through the adoption of Therbligs, a set of elemental physical motions centered around object manipulation. Context is modeled through the use of a contrastive mutual information loss that formulates context information as the action information not contained within movement information. We empirically prove the utility brought by this separation of representation, showing sizable improvements in action recognition and action anticipation accuracies for a variety of models. We present results over two object manipulation datasets: EPIC Kitchens 100, and 50 Salads.

关键词： Algorithms Algorithms Video recognition and understanding vision + language and/or other modalities

来源：评论

学校读者我要写书评

暂无评论

Efficient Layout-Guided Image Inpainting for Mobile Use

Efficient Layout-Guided Image Inpainting for Mobile Use

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Li, Wenbo Wei, Yi Shen, Yilin Jin, Hongxia Samsung Res Amer Mountain View CA 94043 USA

ISBN: (纸本)9798350318920;9798350318937

The layout guidance, which specifies the pixel-wise object distribution, is beneficial to preserving the object boundaries in image inpainting while not hurting models generalization capability. We aim to design an efficient and robust layout-guided image inpainting method for mobile use, which can achieve the robustness in presence of the mixed scenes where objects with the delicate shape reside next to the hole. Our method is made up of two sub-models, which restore the pixel-information for the hole from coarse to fine, and support each other to overcome the practical challenges encountered when making the whole method lightweight. The layout mask guides the two sub-models, which thus enables the robustness of our method in mixed scenes. We demonstrate the efficiency and robustness of our method via both the experiments and a mobile demo.

关键词： applications Smartphones / end user devices

来源：评论

学校读者我要写书评

暂无评论

Towards Diverse and Consistent Typography Generation

Towards Diverse and Consistent Typography Generation

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Shimoda, Wataru Haraguchi, Daichi Uchida, Seiichi Yamaguchi, Kota CyberAgent Tokyo Japan Kyushu Univ Fukuoka Japan

ISBN: (纸本)9798350318920;9798350318937

In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document. We formulate typography generation as a fine-grained attribute generation for multiple text elements and build an autoregressive model to generate diverse typography that matches the input design context. We further propose a simple yet effective sampling approach that respects the consistency and distinction principle of typography so that generated examples share consistent typographic styling across text elements. Our empirical study shows that our model successfully generates diverse typographic designs while preserving a consistent typographic structure.

关键词： 3D Algorithms Algorithms applications Arts / games / social media Datasets and evaluations etc Generative models for image video

来源：评论

学校读者我要写书评

暂无评论

Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion

Multi-Class Segmentation from Aerial Views using Recursive N...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Kolbeinsson, Benedikt Mikolajczyk, Krystian Imperial Coll London London England

ISBN: (纸本)9798350318920;9798350318937

Semantic segmentation from aerial views is a crucial task for autonomous drones, as they rely on precise and accurate segmentation to navigate safely and efficiently. However, aerial images present unique challenges such as diverse viewpoints, extreme scale variations, and high scene complexity. In this paper, we propose an end-to-end multi-class semantic segmentation diffusion model that addresses these challenges. We introduce recursive denoising to allow information to propagate through the denoising process, as well as a hierarchical multi-scale approach that complements the diffusion process. Our method achieves promising results on the UAVid dataset and state-of-the-art performance on the Vaihingen Building segmentation benchmark. Being the first iteration of this method, it shows great promise for future improvements. Our code and models are available at: https://***/benediktkol/recursive-noise-diffusion

关键词： Algorithms applications Image recognition and understanding Robotics

来源：评论

学校读者我要写书评

暂无评论

Classifying Cable Tendency with Semantic Segmentation by Utilizing Real and Simulated RGB Data

Classifying Cable Tendency with Semantic Segmentation by Uti...

引用

ieee/CVF Winter conference on applications of computer vision (WACV)

作者： Chien, Pei-Chun Liao, Powei Fukuzawa, Eiji Ohya, Jun Yazaki Corp Shizuoka Japan Waseda Univ Tokyo Japan

ISBN: (纸本)9798350318920;9798350318937

Cable tendency is the potential shape or characteristic that a cable may possess while being manipulated, of which some are considered erroneous and should be identified as a part of anomaly detection during an automatic manipulation. This research explores the ability of deep-learning models in learning the cable tendencies that, contrary to typical classification tasks of multi-object scenarios, is to differentiate the multiple states displayable by the same object - in this case, cables. By training multiple models with different combinations of self-collected real-world data and self-generated simulation data, a comparative study is carried out to compare the performance of each approach. In conclusion, the effectiveness of detecting three abnormal states and shapes of cables, and using simulation data is certificated in experiments.

关键词： Algorithms Algorithms applications Computational photography image and video synthesis Image recognition and understanding Robotics

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 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：