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

11,886 篇 会议
5 篇 期刊文献

馆藏范围

11,891 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,060 篇 工学
- 7,618 篇 计算机科学与技术...
- 796 篇 机械工程
- 688 篇 电气工程
- 361 篇 软件工程
- 228 篇 控制科学与工程
- 41 篇 光学工程
- 19 篇 生物工程
- 17 篇 信息与通信工程
- 12 篇 生物医学工程（可授...
- 7 篇 交通运输工程
- 6 篇 电子科学与技术（可...
- 6 篇 建筑学
- 5 篇 仪器科学与技术
- 5 篇 化学工程与技术
- 5 篇 安全科学与工程
- 4 篇 土木工程
3,347 篇 医学
- 3,346 篇 临床医学
- 4 篇 基础医学(可授医学...
- 4 篇 公共卫生与预防医...
254 篇 理学
- 198 篇 系统科学
- 32 篇 物理学
- 21 篇 生物学
- 19 篇 数学
- 9 篇 统计学（可授理学、...
- 7 篇 化学
17 篇 管理学
- 12 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
- 5 篇 工商管理
3 篇 法学
- 3 篇 社会学
3 篇 教育学
- 3 篇 教育学
2 篇 农学
1 篇 经济学
1 篇 军事学

主题

5,633 篇 computer vision
2,668 篇 training
2,203 篇 pattern recognit...
1,745 篇 computational mo...
1,504 篇 visualization
1,360 篇 three-dimensiona...
1,082 篇 semantics
1,001 篇 benchmark testin...
990 篇 codes
959 篇 computer archite...
892 篇 deep learning
777 篇 conferences
754 篇 task analysis
716 篇 feature extracti...
560 篇 transformers
536 篇 face recognition
526 篇 neural networks
495 篇 object detection
490 篇 image segmentati...
472 篇 cameras

机构

174 篇 univ sci & techn...
145 篇 carnegie mellon ...
144 篇 univ chinese aca...
143 篇 tsinghua univ pe...
134 篇 chinese univ hon...
110 篇 zhejiang univ pe...
100 篇 peng cheng lab p...
99 篇 swiss fed inst t...
91 篇 tsinghua univers...
90 篇 shanghai ai lab ...
84 篇 shanghai jiao to...
83 篇 zhejiang univers...
82 篇 sensetime res pe...
81 篇 stanford univ st...
79 篇 university of sc...
79 篇 univ hong kong p...
79 篇 tech univ munich...
76 篇 alibaba grp peop...
76 篇 australian natl ...
75 篇 peng cheng labor...

作者

74 篇 timofte radu
64 篇 van gool luc
50 篇 zhang lei
43 篇 yang yi
37 篇 loy chen change
36 篇 tao dacheng
32 篇 zhou jie
31 篇 chen chen
30 篇 liu yang
30 篇 tian qi
30 篇 zha zheng-jun
29 篇 sun jian
28 篇 li xin
27 篇 qi tian
27 篇 luc van gool
26 篇 vasconcelos nuno
25 篇 liu xiaoming
25 篇 darrell trevor
24 篇 zheng wei-shi
24 篇 luo ping

语言

11,850 篇 英文
40 篇 其他
1 篇 中文

检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"

共 11891 条记录，以下是1521-1530 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：

dacl10k: Benchmark for Semantic Bridge Damage Segmentation

dacl10k: Benchmark for Semantic Bridge Damage Segmentation

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Flotzinger, Johannes Roesch, Philipp J. Braml, Thomas Univ Bundeswehr Munich Munich Germany

ISBN: (纸本)9798350318920;9798350318937

Reliably identifying reinforced concrete defects (RCDs) plays a crucial role in assessing the structural integrity, traffic safety, and long-term durability of concrete bridges, which represent the most common bridge type worldwide. Nevertheless, available datasets for the recognition of RCDs are small in terms of size and class variety, which questions their usability in real-world scenarios and their role as a benchmark. Our contribution to this problem is "dacl10k", an exceptionally diverse RCD dataset for multi-label semantic segmentation comprising 9,920 images deriving from real-world bridge inspections. dacl10k distinguishes 12 damage classes as well as 6 bridge components that play a key role in the building assessment and recommending actions, such as restoration works, traffic load limitations or bridge closures. In addition, we examine baseline models for dacl10k which are subsequently evaluated. The best model achieves a mean intersection-over-union of 0.42 on the test set. dacl10k, along with our baselines, will be openly accessible to researchers and practitioners, representing the currently biggest dataset regarding number of images and class diversity for semantic segmentation in the bridge inspection domain.

关键词： Algorithms Algorithms Applications Datasets and evaluations Image recognition and understanding Structural engineering / civil engineering

来源：评论

学校读者我要写书评

暂无评论

Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin

Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Moreira, Gabriel Marques, Manuel Costeira, Joao Paulo Hauptmann, Alexander Carnegie Mellon Univ Language Technol Inst Pittsburgh PA 15213 USA Inst Super Tecn Inst Syst & Robot Lisbon Portugal

ISBN: (纸本)9798350318920;9798350318937

Recent research in representation learning has shown that hierarchical data lends itself to low-dimensional and highly informative representations in hyperbolic space. However, even if hyperbolic embeddings have gathered attention in image recognition, their optimization is prone to numerical hurdles. Further, it remains unclear which applications stand to benefit the most from the implicit bias imposed by hyperbolicity, when compared to traditional Euclidean features. In this paper, we focus on prototypical hyperbolic neural networks. In particular, the tendency of hyperbolic embeddings to converge to the boundary of the Poincare ball in high dimensions and the effect this has on few-shot classification. We show that the best few-shot results are attained for hyperbolic embeddings at a common hyperbolic radius. In contrast to prior benchmark results, we demonstrate that better performance can be achieved by a fixed-radius encoder equipped with the Euclidean metric, regardless of the embedding dimension.

关键词： Algorithms Algorithms and algorithms formulations Image recognition and understanding Machine learning architectures

来源：评论

学校读者我要写书评

暂无评论

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation

FAKD: Feature Augmented Knowledge Distillation for Semantic ...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Yuan, Jianlong Phan, Minh Hieu Liu, Liyang Liu, Yifan Alibaba Grp Damo Acad Hangzhou Peoples R China Hupan Lab Hangzhou Peoples R China Univ Adelaide Adelaide SA Australia

ISBN: (纸本)9798350318920;9798350318937

In this work, we explore data augmentations for knowledge distillation on semantic segmentation. Due the capacity gap, small-sized student networks struggle to discover the discriminative feature space learned by a powerful teacher. Image-level augmentations allow the student to better imitate the teacher by providing extra outputs. However, existing distillation frameworks only augment a limited number of samples, which restricts the learning of a student. Inspired by the recent progress on semantic directions on feature space, this work proposes a feature-level augmented knowledge distillation (FAKD) which infinitely augments features along a semantic direction for optimal knowledge transfer. Furthermore, we introduce novel surrogate loss functions to distill the teacher's knowledge from an infinite number of samples. The surrogate loss is an upper bound of the expected distillation loss over infinite augmented samples. Extensive experiments on four semantic segmentation benchmarks demonstrate that the proposed method boosts the performance of current knowledge distillation methods without any significant overhead. The code will be released at FAKD.

关键词： Algorithms Image recognition and understanding

来源：评论

学校读者我要写书评

暂无评论

Bag of Tricks for Fully Test-Time Adaptation

Bag of Tricks for Fully Test-Time Adaptation

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Mounsaveng, Saypraseuth Chiaroni, Florent Boudiaf, Malik Pedersoli, Marco Ben Ayed, Ismail ETS Montreal Montreal PQ Canada

ISBN: (纸本)9798350318920;9798350318937

Fully Test-Time Adaptation (TTA), which aims at adapting models to data drifts, has recently attracted wide interest. Numerous tricks and techniques have been proposed to ensure robust learning on arbitrary streams of unlabeled data. However, assessing the true impact of each individual technique and obtaining a fair comparison still constitutes a significant challenge. To help consolidate the community's knowledge, we present a categorization of selected orthogonal TTA techniques, including small batch normalization, stream rebalancing, reliable sample selection, and network confidence calibration. We meticulously dissect the effect of each approach on different scenarios of interest. Through our analysis, we shed light on trade-offs induced by those techniques between accuracy, the computational power required, and model complexity. We also uncover the synergy that arises when combining techniques and are able to establish new state-of-the-art results.

关键词： Algorithms Algorithms and algorithms formulations Image recognition and understanding Machine learning architectures

来源：评论

学校读者我要写书评

暂无评论

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Video-kMaX: A Simple Unified Approach for Online and Near-On...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Shin, Inkyu Kim, Dahun Yu, Qihang Xie, Jun Kim, Hong-Seok Green, Bradley Kweon, In So Yoon, Kuk-Jin Chen, Liang-Chieh Korea Adv Inst Sci & Technol Daejeon South Korea Google Res Mountain View CA 94043 USA

ISBN: (纸本)9798350318920;9798350318937

Video Panoptic Segmentation (VPS) aims to achieve comprehensive pixel-level scene understanding by segmenting all pixels and associating objects in a video. Current solutions can be categorized into online and near-online approaches. Evolving over the time, each category has its own specialized designs, making it nontrivial to adapt models between different categories. To alleviate the discrepancy, in this work, we propose a unified approach for online and near-online VPS. The meta architecture of the proposed Video-kMaX consists of two components: within-clip segmenter (for clip-level segmentation) and cross-clip associater (for association beyond clips). We propose clip-kMaX (clip k-means mask transformer) and LA-MB (location-aware memory buffer) to instantiate the segmenter and associater, respectively. Our general formulation includes the online scenario as a special case by adopting clip length of one. Without bells and whistles, Video-kMaX sets a new state-of-the-art on KITTI-STEP and VIPSeg for video panoptic segmentation Code and models are available at this link.

关键词： Algorithms Algorithms Image recognition and understanding Video recognition and understanding

来源：评论

学校读者我要写书评

暂无评论

Differentially Private Video Activity recognition

Differentially Private Video Activity Recognition

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Luo, Zelun Zou, Yuliang Yang, Yijin Durante, Zane Huang, De-An Yu, Zhiding Xiao, Chaowei Fei-Fei, Li Anandkumar, Animashree Stanford Univ Stanford CA 94305 USA Virginia Tech Blacksburg VA USA Arizona State Univ Tempe AZ USA NVIDIA Santa Clara CA USA Univ Wisconsin Madison Madison WI USA CALTECH Pasadena CA USA

ISBN: (纸本)9798350318920;9798350318937

In recent years, differential privacy has seen significant advancements in image classification;however, its application to video activity recognition remains under-explored. This paper addresses the challenges of applying differential privacy to video activity recognition, which primarily stem from: (1) a discrepancy between the desired privacy level for entire videos and the nature of input data processed by contemporary video architectures, which are typically short, segmented clips;and (2) the complexity and sheer size of video datasets relative to those in image classification, which render traditional differential privacy methods inadequate. To tackle these issues, we propose MultiClip DP-SGD, a novel framework for enforcing video-level differential privacy through clip-based classification models. This method samples multiple clips from each video, averages their gradients, and applies gradient clipping in DP-SGD without incurring additional privacy loss. Moreover, we incorporate a parameter-efficient transfer learning strategy to make the model scalable for large-scale video datasets. Through extensive evaluations on the UCF-101 and HMDB-51 datasets, our approach exhibits impressive performance, achieving 81% accuracy with a privacy budget of epsilon = 5 on UCF-101, marking a 76% improvement compared to a direct application of DP-SGD. Furthermore, we demonstrate that our transfer learning strategy is versatile and can enhance differentially private image classification across an array of datasets including CheXpert, ImageNet, CIFAR-10, and CIFAR-100.

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

来源：评论

学校读者我要写书评

暂无评论

C²T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute recognition

C<SUP>2</SUP>T-Net: Channel-Aware Cross-Fused Transformer-St...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Bui, Doanh C. Thinh V. Le Ngo, Ba Hung Korea Univ Sch Elect Engn Seoul South Korea Vietnam Natl Univ Univ Informat Technol Ho Chi Minh City Vietnam Chonnam Natl Univ Grad Sch Data Sci Gwangju South Korea

ISBN: (纸本)9798350370287;9798350370713

Pedestrian attribute recognition (PAR) poses a significant challenge but holds practical significance in various security applications, including surveillance. In the scope of the UPAR challenge, this paper introduces the Channel-Aware Cross-Fused Transformer-Style Networks ((CT)-T-2-Net). This network effectively integrates two powerful transformer-style networks, namely the Swin Transformer (SwinT) and a customized variant of the vanilla vision transformer (EVA ViT). The aim is to capture both local and global aspects of an individual for precise attribute recognition. To facilitate the understanding of intricate relationships among channels, a channel-aware self-attention mechanism is devised and integrated into each SwinT block. Furthermore, the fusion of features from the two transformer-style networks is accomplished through cross-fusion, enabling each network to mutually amplify and boost the textural nuances present in the other. The efficacy of the proposed model has been demonstrated through its performance on three PAR benchmarks: PA100K, PETA, and the UPAR2024 private test. With respect to the PA100K benchmark, our approach has achieved state-of-the-art results when compared to models that do not employ any pre-training techniques. Our performance on the PETA dataset remains competitive, standing on par with other cutting-edge models. Notably, our model achieved runner-up performance on the UPAR2024-track-1 test set. Source code is available at https://***/caodoanh2001/upar_challenge.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment

Learning Generalizable Perceptual Representations for Data-E...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Srinath, Suhas Mitra, Shankhanil Rao, Shika Soundararajan, Rajiv Indian Inst Sci Bengaluru 560012 India

ISBN: (纸本)9798350318920;9798350318937

No-reference (NR) image quality assessment (IQA) is an important tool in enhancing the user experience in diverse visual applications. A major drawback of state-of-the-art NR-IQA techniques is their reliance on a large number of human annotations to train models for a target IQA application. To mitigate this requirement, there is a need for unsupervised learning of generalizable quality representations that capture diverse distortions. We enable the learning of low-level quality features agnostic to distortion types by introducing a novel quality-aware contrastive loss. Further, we leverage the generalizability of vision-language models by fine-tuning one such model to extract high-level image quality information through relevant text prompts. The two sets of features are combined to effectively predict quality by training a simple regressor with very few samples on a target dataset. Additionally, we design zero-shot quality predictions from both pathways in a completely blind setting. Our experiments on diverse datasets encompassing various distortions show the generalizability of the features and their superior performance in the data-efficient and zero-shot settings.

关键词： Algorithms Algorithms Algorithms and algorithms formulations Image recognition and understanding Machine learning architectures vision + language and/or other modalities

来源：评论

学校读者我要写书评

暂无评论

Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video recognition

Automated Sperm Assessment Framework and Neural Network Spec...

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： Fujii, Takuro Nakagawa, Hayato Takeshima, Teppei Yumura, Yasushi Hamagami, Tomoki Yokohama Natl Univ Yokohama Kanagawa Japan Yokohama City Univ Med Ctr Yokohama Kanagawa Japan

ISBN: (纸本)9798350318920;9798350318937

Infertility is a global health problem, and an increasing number of couples are seeking medical assistance to achieve reproduction, at least half of which are caused by men. The success rate of assisted reproductive technologies depends on sperm assessment, in which experts determine whether sperm can be used for reproduction based on morphology and motility of sperm. Previous sperm assessment studies with deep learning have used datasets comprising images that include only sperm heads, which cannot consider motility and other morphologies of sperm. Furthermore, the labels of the dataset are one-hot, which provides insufficient support for experts, because assessment results are inconsistent between experts, and they have no absolute answer. Therefore, we constructed the video dataset for sperm assessment whose videos include sperm head as well as neck and tail, and its labels were annotated with soft-label. Furthermore, we proposed the sperm assessment framework and the neural network, RoSTFine, for sperm video recognition. Experimental results showed that RoSTFine could improve the sperm assessment performances compared to existing video recognition models and focus strongly on important sperm parts (i.e., head and neck). Our code is publickly available at https://***/FTKR12/RoSTFine.

关键词： Animals / Insects Applications Applications Biomedical / healthcare / medicine

来源：评论

学校读者我要写书评

暂无评论

Accenture-MM1: A Multimodal Person recognition Dataset

Accenture-MM1: A Multimodal Person Recognition Dataset

引用

ieee/cvf Winter conference on Applications of computer vision (WACV)

作者： O'Brien, Kyle Rybak, Michelle Huang, Jiong Stevens, Adam Fredriksz, Madeline Chaberski, Michael Russell, Danielle Castin, Lindsey Jou, Michelle Gurrapadi, Nishant Bosch, Marc Accenture Fed Serv Arlington VA 22209 USA

ISBN: (纸本)9798350370287;9798350370713

In this paper we present a new dataset to fuel multimodal research in uncooperative and surveillance scenarios. Accenture Multimodality 1 (ACC-MM1) is a large-scale multimodal biometric recognition dataset composed of imagery and video. The dataset includes challenges such as long ranges, high pitch angles, varied atmospheric conditions, and mixed image quality levels. Ultimately, a dataset containing 227 unique subjects, 303 hours of video, and 12,344 still images was captured in indoor and outdoor conditions. In addition to traditional modalities (face, gait, etc.), data for a novel biometric modality, activity gait, was collected. Covariates included appearance changes, walking with weighted loads, and body distortions. Furthermore, to enable standardized performance testing of ACC-MM1, an evaluation protocol was created. Baseline performance of popular and novel recognition algorithms is reported to encourage research in the challenging conditions present in ACC-MM1.

关键词： Biometrics

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 << < 149 150 151 152 153 154 155 156 157 158 > >>

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：