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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是811-820 订阅
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Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models
Generate Like Experts: Multi-Stage Font Generation by Incorp...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fu, Bin Yu, Fanghua Liu, Anran Wang, Zixuan Wen, Jie He, Junjun Qiao, Yu Chinese Acad Sci Shenzhen Inst Adv Technol ShenZhen Key Lab Comp Vis & Pattern Recognit Shenzhen Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China Univ Hong Kong Hong Kong Peoples R China Harbin Inst Technol Shenzhen Peoples R China
Few-shot font generation (FFG) produces stylized font images with a limited number of reference samples, which can significantly reduce labor costs in manual font designs. Most existing FFG methods follow the style-co... 详细信息
来源: 评论
Thermal Image Super-Resolution Challenge Results - PBVS 2022
Thermal Image Super-Resolution Challenge Results - PBVS 2022
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rivadeneira, Rafael E. Sappa, Angel D. Vintimilla, Boris X. Kim, Jin Kim, Dogun Li, Zhihao Jian, Yingchun Yan, Bo Cao, Leilei Qi, Fengliang Wang, Hongbin Wu, Rongyuan Sun, Lingchen Zhao, Yongqiang Li, Lin Wang, Kai Wang, Yicheng Zhang, Xuanming Wei, Huiyuan Lv, Chonghua Sun, Qigong Tian, Xiaolin Jia, Zhuang Hu, Jiakui Wang, Chenyang Zhong, Zhiwei Liu, Xianming Jiang, Junjun Escuela Super Politecn Litoral ESPOL Guayaquil Ecuador Comp Vision Ctr Campus UAB Bellaterra 08193 Spain
This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image datase... 详细信息
来源: 评论
Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks
Long-term Action Forecasting Using Multi-headed Attention-ba...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Loh, Siyuan Brandon Roy, Debaditya Fernando, Basura ASTAR IHPC SCC Singapore Singapore ASTAR IHPC CFAR Singapore Singapore
Systems developed for predicting both the action and the amount of time someone might take to perform that action need to be aware of the inherent uncertainty in what humans do. Here, we present a novel hybrid generat... 详细信息
来源: 评论
Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark
Signature Detection, Restoration, and Verification: A Novel ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yan, Kaihong Zhang, Ying Tang, Haoran Ren, Chengkai Zhang, Jian Wang, Gaoang Wang, Hongwei Zhejiang Univ Zhejiang Univ Univ Illinois Urbana Champaign Inst Haining 314400 Zhejiang Peoples R China
Offline signature forgery detection has attracted many researchers in recent years. In real situations, signatures should be detected from the signed documents and verified by the forgery detection system. There are m... 详细信息
来源: 评论
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks
Searching for Energy-Efficient Hybrid Adder-Convolution Neur...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Wenshuo Chen, Xinghao Bai, Jinyu Ning, Xuefei Wang, Yunhe Huawei Noahs Ark Lab Hong Kong Peoples R China Huawei TCS Lab Hong Kong Peoples R China Beihang Univ Sch Integrated Circuit Sci & Engn Beijing Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China
As convolutional neural networks (CNNs) are more and more widely used in computer vision area, the energy consumption of CNNs has become the focus of researchers. For edge devices, both the battery life and the infere... 详细信息
来源: 评论
Vicinal Counting Networks
Vicinal Counting Networks
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ranjan, Viresh Minh Hoai SUNY Stony Brook Stony Brook NY 11794 USA VinAI Res Hanoi Vietnam
We tackle the task of Few-Shot Counting. Given an image containing multiple objects of a novel visual category and few exemplar bounding boxes depicting the visual category of interest, we want to count all of the ins... 详细信息
来源: 评论
Probabilistic Compositional Embeddings for Multimodal Image Retrieval
Probabilistic Compositional Embeddings for Multimodal Image ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Neculai, Andrei Chen, Yanbei Akata, Zeynep Univ Tubingen Tubingen Germany MPI Informat Saarbrucken Germany MPI Intelligent Syst Stuttgart Germany
Existing works in image retrieval often consider retrieving images with one or two query inputs, which do not generalize to multiple queries. In this work, we investigate a more challenging scenario for composing mult... 详细信息
来源: 评论
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?
Can the Mathematical Correctness of Object Configurations Af...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Han Li, Zeqian Whitehill, Jacob Worcester Polytech Inst Worcester MA 01609 USA
We investigate a new type of dataset bias based on the mathematical correctness of object configurations in visual scenes, and how this bias can affect the accuracy of computer vision models. Our experiments demonstra... 详细信息
来源: 评论
VISTA: vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout
VISTA: Vision Transformer enhanced by U-Net and Image Colorf...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shihab, Md Istiak Hossain Tasnim, Nazia Zunair, Hasib Rupty, Labiba Kanij Mohammed, Nabeel Shahjalal Univ Sci & Technol Sylhet Bangladesh Giga Tech Ltd Dhaka Bangladesh Concordia Univ Montreal PQ Canada North South Univ Dhaka Bangladesh
Multi-class product counting and recognition identifies product items from images or videos for automated retail checkout. The task is challenging due to the real-world scenario of occlusions where product items overl... 详细信息
来源: 评论
Cross-dataset Learning for Generalizable Land Use Scene Classification
Cross-dataset Learning for Generalizable Land Use Scene Clas...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gominski, Dimitri Gouet-Brunet, Valerie Chen, Liming Univ Copenhagen Geog Copenhagen Denmark IGN LaSTIG St Mande France Ecole Cent Lyon LIRIS Ecully France
Few-shot and cross-domain land use scene classification methods propose solutions to classify unseen classes or unseen visual distributions, but are hardly applicable to realworld situations due to restrictive assumpt... 详细信息
来源: 评论