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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是231-240 订阅
排序:
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
Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise
Mitigating Paucity of Data in Sinusoid Characterization Usin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sattarzadeh, Sam Shalmani, Shervin Manzuri Azad, Shervin Goldspot Discoveries Corp Montreal PQ Canada
Although the remarkable breakthrough offered by Deep Learning (DL) models in numerous computer vision tasks, the need to acquire large amounts of high-quality natural data and fine-grained annotations is a shortcoming... 详细信息
来源: 评论
Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection
Pseudo-label Generation and Various Data Augmentation for Se...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jun Zhang, Liwen Du, Shenshen Chang, Hao Lu, Keda Zhang, Zhong Yu, Ye Wang, Lei Ling, Qiang Univ Sci & Technol China Hefei Anhui Peoples R China Hefei ZhanDa Intelligence Technol Co Ltd Hefei Anhui Peoples R China Hefei Univ Technol Hefei Anhui Peoples R China
Semi-supervised learning is a highly researched problem, but existing semi-supervised object detection frameworks are based on RGB images, and existing pre-trained models cannot be used for hyperspectral images. To ov... 详细信息
来源: 评论
Cross-modal Target Retrieval for Tracking by Natural Language
Cross-modal Target Retrieval for Tracking by Natural Languag...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Yihao Yu, Jun Cai, Zhongpeng Pan, Yuwen Univ Sci & Technol China Hefei Anhui Peoples R China
Tracking by natural language specification in a video is a challenging task in computer vision. Distinct from initializing the target state only by the bounding box in the first frame, language specification has a str... 详细信息
来源: 评论
Towards Open-Set Object Detection and Discovery
Towards Open-Set Object Detection and Discovery
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zheng, Jiyang Li, Weihao Hong, Jie Petersson, Lars Barnes, Nick Australian Natl Univ Canberra ACT Australia Data61 CSIRO Sydney NSW Australia
With the human pursuit of knowledge, open-set object detection (OSOD) has been designed to identify unknown objects in a dynamic world. However, an issue with the current setting is that all the predicted unknown obje... 详细信息
来源: 评论
Difficulty Estimation with Action Scores for computer vision Tasks
Difficulty Estimation with Action Scores for Computer Vision...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Arriaga, Octavio Palacio, Sebastian Valdenegro-Toro, Matias Univ Bremen Bremen Germany German Res Ctr Artificial Intelligence Kaiserslautern Germany Univ Groningen Groningen Netherlands
As more machine learning models are now being applied in real world scenarios it has become crucial to evaluate their difficulties and biases. In this paper we present an unsupervised method for calculating a difficul... 详细信息
来源: 评论
On Visible Adversarial Perturbations & Digital Watermarking  31
On Visible Adversarial Perturbations & Digital Watermarking
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hayes, Jamie UCL London England
Given a machine learning model, adversarial perturbations transform images such that the model's output is classified as an attacker chosen class. Most research in this area has focused on adversarial perturbation... 详细信息
来源: 评论
Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures
Using Pure Pollen Species When Training a CNN to Segment Pol...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yang, Nana Joos, Victor Jacquemart, A. L. Buyens, Christel De Vleeschouwer, C. UCLouvain ICTEAM Inst Ottignies Belgium UCLouvain ELI Inst Ottignies Belgium
Recognizing the types of pollen grains and estimating their proportion in pollen mixture samples collected in a specific geographical area is important for agricultural, medical, and ecosystem research. Our paper adop... 详细信息
来源: 评论
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
Nerfels: Renderable Neural Codes for Improved Camera Pose Es...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Avraham, Gil Straub, Julian Shen, Tianwei Yang, Tsun-Yi Germain, Hugo Sweeney, Chris Balntas, Vasileios Novotny, David DeTone, Daniel Newcombe, Richard Monash Univ Clayton Vic Australia Ecole Ponts Champs Sur Marne France Facebook Real Labs Menlo Pk CA USA Facebook AI Res Menlo Pk CA USA
This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism. Our proposed 3D scene representation, Nerfels, is locally dense yet glob... 详细信息
来源: 评论
MixAugment & Mixup: Augmentation Methods for Facial Expression recognition
MixAugment & Mixup: Augmentation Methods for Facial Expressi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Psaroudakis, Andreas Kollias, Dimitrios Natl Tech Univ Athens Athens Greece Queen Mary Univ London London England
Automatic Facial Expression recognition (FER) has attracted increasing attention in the last 20 years since facial expressions play a central role in human communication. Most FER methodologies utilize Deep Neural Net... 详细信息
来源: 评论