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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5506 条 记 录,以下是541-550 订阅
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Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Unsupervised Detection of Cancerous Regions in Histology Ima...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stepec, Dejan Skocaj, Danijel Univ Ljubljana Fac Comp & Informat Sci Vecna Pot 113 Ljubljana 1000 Slovenia XLAB Doo Pot Za Brdom 100 Ljubljana 1000 Slovenia
Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance and is a widely studied problem in different domains. Due to the ... 详细信息
来源: 评论
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervis...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Shu Liu, Chun-Hao Dutta, Jayanta Chang, Ming-Ching Lyu, Siwei Ramakrishnan, Naveen Univ Buffalo SUNY Buffalo NY USA Bosch Ctr Artificial Intelligence Sunnyvale CA 94085 USA SUNY Albany Albany NY 12222 USA Amazon Seattle WA USA
Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled. To propagate information from the labeled objects to the unlabeled ones, pseudo-lab... 详细信息
来源: 评论
An End-to-End vision Transformer Approach for Image Copy Detection
An End-to-End Vision Transformer Approach for Image Copy Det...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lee, Jiahe Steven Hsu, Wynne Lee, Mong Li Natl Univ Singapore Inst Data Sci Singapore Singapore Natl Univ Singapore Ctr Trusted Internet & Community Singapore Singapore
Image copy detection is one of the pivotal tools to safeguard online information integrity. The challenge lies in determining whether a query image is an edited copy, which necessitates the identification of candidate... 详细信息
来源: 评论
Making use of unlabeled data: Comparing strategies for marine animal detection in long-tailed datasets using self-supervised and semi-supervised pre-training
Making use of unlabeled data: Comparing strategies for marin...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sharma, Tarun Cline, Danelle E. Edgington, Duane CALTECH Pasadena CA 91125 USA MBARI Moss Landing CA USA
This paper discusses strategies for object detection in marine images from a practitioner's perspective working with real-world long-tail distributed datasets with a large amount of additional unlabeled data on ha... 详细信息
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Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation
Wearable ImageNet: Synthesizing Tileable Textures via Datase...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cazenavette, George Wang, Tongzhou Torralba, Antonio Efros, Alexei A. Zhu, Jun-Yan Carnegie Mellon Univ Pittsburgh PA 15213 USA MIT Cambridge MA 02139 USA Univ Calif Berkeley Berkeley CA USA
Recent methods for Dataset Distillation are able to take in a large set of images of a specific class (e.g., from ImageNet) and synthesize a single image, such that a classifier trained on that image could perform sim... 详细信息
来源: 评论
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains
BalaGAN: Cross-Modal Image Translation Between Imbalanced Do...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Patashnik, Or Danon, Dov Zhang, Hao Cohen-Or, Daniel Tel Aviv Univ Tel Aviv Israel Simon Fraser Univ Burnaby BC Canada
State-of-the-art image translation methods tend to struggle in an imbalanced domain setting, where one image domain lacks richness and diversity. We introduce a new unsupervised translation network, BalaGAN, specifica... 详细信息
来源: 评论
Real-time body motion analysis for dance pattern recognition
Real-time body motion analysis for dance pattern recognition
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2012 IEEE computer Society conference on computer vision and pattern recognition workshops, CVPRW 2012
作者: Kohn, Bernhard Nowakowska, Aneta Belbachir, Ahmed Nabil AIT Austrian Institute of Technology GmbH Donau-City-Str. 1/5. OG 1220 Vienna Austria
This paper presents an algorithm for real-time body motion analysis for dance pattern recognition by use of a dynamic stereo vision sensor. Dynamic stereo vision sensors asynchronously generate events upon scene dynam... 详细信息
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DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios
DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bolten, Tobias Pohle-Froehlich, Regina Toennies, Klaus D. Hsch Niederrhein Inst Pattern Recognit Krefeld Germany Univ Magdeburg Dept Simulat & Graph Magdeburg Germany
Neuromorphic vision sensors are biologically inspired devices which differ fundamentally from well known frame-based sensors. Even though developments in this research area are increasing, applications that rely entir... 详细信息
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Poisons that are learned faster are more effective
Poisons that are learned faster are more effective
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sandoval-Segura, Pedro Singla, Vasu Fowl, Liam Geiping, Jonas Goldblum, Micah Jacobs, David Goldstein, Tom Univ Maryland College Pk MD 20742 USA New York Univ New York NY USA
Imperceptible poisoning attacks on entire datasets have recently been touted as methods for protecting data privacy. However, among a number of defenses preventing the practical use of these techniques, early-stopping... 详细信息
来源: 评论
MTUNet: Few-shot Image Classification with Visual Explanations
MTUNet: Few-shot Image Classification with Visual Explanatio...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Bowen Li, Liangzhi Verma, Manisha Nakashima, Yuta Kawasaki, Ryo Nagahara, Hajime Osaka Univ Inst Databil Sci IDS Suita Osaka Japan Osaka Univ Grad Sch Med Suita Osaka Japan
Few-shot learning (FSL) approaches, mostly neural network-based, are assuming that the pre-trained knowledge can be obtained from base (seen) categories and transferred to novel (unseen) categories. However, the black... 详细信息
来源: 评论