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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是251-260 订阅
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EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment
EBSR: Feature Enhanced Burst Super-Resolution with Deformabl...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Luo, Ziwei Yu, Lei Mo, Xuan Li, Youwei Jia, Lanpeng Fan, Haoqiang Sun, Jian Liu, Shuaicheng Megvii Technol Beijing Peoples R China Univ Elect Sci & Technol China Chengdu Sichuan Peoples R China
We propose a novel architecture to handle the problem of multi frame super-resolution (MFSR). The proposed framework is known as Enhanced Burst Super-Resolution (EBSR), which divides the MFSR problem into three parts:... 详细信息
来源: 评论
Generative Zero-shot Network Quantization
Generative Zero-shot Network Quantization
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Xiangyu Lu, Jiahao Xu, Weixiang Hu, Qinghao Wang, Peisong Cheng, Jian Chinese Acad Sci Inst Automat Beijing Peoples R China
Convolutional neural networks are able to learn realistic image priors from numerous training samples in low-level image generation and restoration [66]. We show that, for high-level image recognition tasks, we can fu... 详细信息
来源: 评论
Domain Adaptable Normalization for Semi-Supervised Action recognition in the Dark
Domain Adaptable Normalization for Semi-Supervised Action Re...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liang, Zixi Chen, Jiajun Chen, Rui Zheng, Bingbing Zhou, Mingyue Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co Guangzhou Peoples R China
Action recognition in the dark is gaining more and more attention with the rapid development of intelligent recognition applications in real-world applications, e.g. self-driving at night and night surveillance. Howev... 详细信息
来源: 评论
Large Receptive Field Networks for High-Scale Image Super-Resolution  31
Large Receptive Field Networks for High-Scale Image Super-Re...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Seif, George Androutsos, Dimitrios Ryerson Univ Toronto ON Canada
Convolutional Neural Networks have been the backbone of recent rapid progress in Single-Image Super-Resolution. However, existing networks are very deep with many network parameters, thus having a large memory footpri... 详细信息
来源: 评论
Towards efficient feature sharing in MIMO architectures
Towards efficient feature sharing in MIMO architectures
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Remy Rame, Alexandre Masson, Clement Thome, Nicolas Cord, Matthieu Sorbonne Univ MLIA ISIR Paris France Conservatoire Natl Arts & Metiers CEDRIC Vertigo Paris France Thales Land & Air Syst Elancourt France Valeo Ai Paris France
Multi-input multi-output architectures propose to train multiple subnetworks within one base network and then average the subnetwork predictions to benefit from ensembling for free. Despite some relative success, thes... 详细信息
来源: 评论
Leveraging Unlabeled Data for Sketch-based Understanding
Leveraging Unlabeled Data for Sketch-based Understanding
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Morales, Javier Murrugarra-Llerena, Nils Saavedra, Jose M. Univ Chile Dept Comp Sci Santiago Chile Weber State Univ Dept Comp Sci Ogden UT 84408 USA Univ Los Andes Santiago Chile
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans. This topic has recently attracted the interest of the computer vision community as ... 详细信息
来源: 评论
A vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
A Vision-based System for Traffic Anomaly Detection using De...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Aboah, Armstrong Shoman, Maged Mandal, Vishal Davami, Sayedomidreza Adu-Gyamfi, Yaw Sharma, Anuj Univ Missouri Columbia Dept Civil & Environm Engn Columbia MO 65211 USA Iowa State Univ Dept Civil & Environm Engn Ames IA USA
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree enabled approach powered by deep learning for extracting ano... 详细信息
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Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
Training Domain-invariant Object Detector Faster with Featur...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lee, Chaehyeon Seo, Junghoon Jung, Heechul Kyungpook Natl Univ Dept Artificial Intelligence Daegu South Korea SI Analyt Co Ltd Daejeon South Korea SI Analyt Daejeon South Korea
In deep learning-based object detection on remote sensing domain, nuisance factors, which affect observed variables while not affecting predictor variables, often matters because they cause domain changes. Previously,... 详细信息
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PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
PanoDR: Spherical Panorama Diminished Reality for Indoor Sce...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gkitsas, Vasileios Sterzentsenko, Vladimiros Zioulis, Nikolaos Albanis, Georgios Zarpalas, Dimitrios Ctr Res & Technol Hellas Thessaloniki Greece
The rising availability of commercial 360 degrees cameras that democratize indoor scanning, has increased the interest for novel applications, such as interior space re-design. Diminished Reality (DR) fulfills the req... 详细信息
来源: 评论
Dual-Branch Collaborative Transformer for Virtual Try-On
Dual-Branch Collaborative Transformer for Virtual Try-On
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fenocchi, Emanuele Morelli, Davide Cornia, Marcella Baraldi, Lorenzo Cesari, Fabio Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy YOOX NET PORTER GRP Milan Italy
Image-based virtual try-on has recently gained a lot of attention in both the scientific and fashion industry communities due to its challenging setting and practical real-world applications. While pure convolutional ... 详细信息
来源: 评论