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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是4721-4730 订阅
排序:
Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering
Online Multi-camera People Tracking with Spatial-temporal Me...
收藏 引用
ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Riu Cherdchusakulchai Sasin Phimsiri Visarut Trairattanapa Suchat Tungjitnob Wasu Kudisthalert Pornprom Kiawjak Ek Thamwiwatthana Phawat Borisuitsawat Teepakorn Tosawadi Pakcheera Choppradit Kasisdis Mahakijdechachai Supawit Vatathanavaro Worawit Saetan Vasin Suttichaya AI and Robotics Ventures (ARV) Thailand
Multi-camera Multi-object tracking (MTMC) surpasses conventional single-camera tracking by enabling seamless object tracking across multiple camera views. This capability is critical for security systems and improving... 详细信息
来源: 评论
Relevance-CAM: Your Model Already Knows Where to Look
Relevance-CAM: Your Model Already Knows Where to Look
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lee, Jeong Ryong Kim, Sewon Park, Inyong Eo, Taejoon Hwang, Dosik Yonsei Univ Sch Elect & Elect Engn Seoul South Korea
With increasing fields of application for neural networks and the development of neural networks, the ability to explain deep learning models is also becoming increasingly important. Especially, prior to practical app... 详细信息
来源: 评论
Densely connected multidilated convolutional networks for dense prediction tasks
Densely connected multidilated convolutional networks for de...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Takahashi, Naoya Mitsufuji, Yuki Sony Corp Tokyo Japan
Tasks that involve high-resolution dense prediction require a modeling of both local and global patterns in a large input field. Although the local and global structures often depend on each other and their simultaneo... 详细信息
来源: 评论
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bang, Jihwan Kim, Heesu Yoo, YoungJoon Ha, Jung-Woo Choi, Jonghyun Search Solut Inc Thousand Oaks CA USA NAVER CLOVA Seongnam South Korea NAVER AI Lab Seongnam South Korea GIST Gwangju South Korea
Continual learning is a realistic learning scenario for AI models. Prevalent scenario of continual learning, however;assumes disjoint sets of classes as tasks and is less realistic rather artificial. Instead, we focus... 详细信息
来源: 评论
Improving Unsupervised Image Clustering With Robust Learning
Improving Unsupervised Image Clustering With Robust Learning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Park, Sungwon Han, Sungwon Kim, Sundong Kim, Danu Park, Sungkyu Hong, Seunghoon Cha, Meeyoung Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea Inst for Basic Sci Korea Data Sci Grp Daejeon South Korea
Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results. To overcome these challenges, the current res... 详细信息
来源: 评论
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization
Coming Down to Earth: Satellite-to-Street View Synthesis for...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Toker, Aysim Zhou, Qunjie Maximov, Maxim Leal-Taixe, Laura Tech Univ Munich Munich Germany
The goal of cross-view image based geo-localization is to determine the location of a given street view image by matching it against a collection of geo-tagged satellite images. This task is notoriously challenging du... 详细信息
来源: 评论
Pseudo Facial Generation with Extreme Poses for Face recognition
Pseudo Facial Generation with Extreme Poses for Face Recogni...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Guoli Ma, Jiaqi Zhang, Qian Lu, Jiwen Zhou, Jie Tsinghua Univ Beijing Peoples R China Wuhan Univ Wuhan Peoples R China Horizon Robot Beijing Peoples R China
Face recognition has achieved a great success in recent years, it is still challenging to recognize those facial images with extreme poses. Traditional methods consider it as a domain gap problem. Many of them settle ... 详细信息
来源: 评论
Multi-modal Aerial View Image Challenge: Sensor Domain Translation
Multi-modal Aerial View Image Challenge: Sensor Domain Trans...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Spencer Low Oliver Nina Dylan Bowald Angel D. Sappa Nathan Inkawhich Peter Bruns Brigham Young University Provo Utah Air Force Research Laboratory Dayton OH ESPOL Polytechnic University Ecuador Computer Vision Center Spain Air Force Research Laboratory Rome NY University of Utah Salt Lake UT
This paper describes the design, outcomes, and top methods of the 2nd annual Multi-modal Aerial View Image Challenge (MAVIC) aimed at cross modality aerial image translation. The primary objective of this competition ... 详细信息
来源: 评论
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concept...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stammer, Wolfgang Schramowski, Patrick Kersting, Kristian Tech Univ Darmstadt Comp Sci Dept Darmstadt Germany Tech Univ Darmstadt Ctr Cognit Sci Darmstadt Germany Hessian Ctr AI Hessian AI Darmstadt Germany
Most explanation methods in deep learning map importance estimates for a model's prediction back to the original input space. These "visual" explanations are often insufficient, as the model's actual... 详细信息
来源: 评论
NeRD: Neural 3D Reflection Symmetry Detector
NeRD: Neural 3D Reflection Symmetry Detector
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Yichao Liu, Shichen Ma, Yi Univ Calif Berkeley Berkeley CA 94720 USA Univ Southern Calif Los Angeles CA 90089 USA
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry from an image remains a challenging t... 详细信息
来源: 评论