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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是4881-4890 订阅
排序:
Learning Multi-Scale Photo Exposure Correction
Learning Multi-Scale Photo Exposure Correction
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Afifi, Mahmoud Derpanis, Konstantinos G. Ommer, Bjoern Brown, Michael S. Samsung AI Ctr SAIC Toronto ON Canada York Univ N York ON Canada Heidelberg Univ Heidelberg Germany
Capturing photographs with wrong exposures remains a major source of errors in camera-based imaging. Exposure problems are categorized as either: (i) overexposed, where the camera exposure was too long, resulting in b... 详细信息
来源: 评论
SurFree: a fast surrogate-free black-box attack
SurFree: a fast surrogate-free black-box attack
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Maho, Thibault Furon, Teddy Le Merrer, Erwan Univ Rennes CNRS INRIA IRISA Rennes France
Machine learning classifiers are critically prone to evasion attacks. Adversarial examples are slightly modified inputs that are then misclassified, while remaining perceptively close to their originals. Last couple o... 详细信息
来源: 评论
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
Progressively Complementary Network for Fisheye Image Rectif...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Shangrong Lin, Chunyu Liao, Kang Zhang, Chunjie Zhao, Yao Beijing Jiaotong Univ Beijing Key Lab Adv Informat Sci & Network Inst Informat Sci Beijing 100044 Peoples R China
Distortion rectification is often required for fisheye images. The generation-based method is one mainstream solution due to its label-free property, but its naive skip-connection and overburdened decoder will cause b... 详细信息
来源: 评论
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Modular Interactive Video Object Segmentation: Interaction-t...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Ho Kei Tai, Yu-Wing Tang, Chi-Keung UIUC Champaign IL 61820 USA HKUST Hong Kong Peoples R China Kuaishou Technol Beijing Peoples R China
We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance. Trained separately, the interaction module co... 详细信息
来源: 评论
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rozumnyi, Denys Oswald, Martin R. Ferrari, Vittorio Matas, Jiri Pollefeys, Marc Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland Google Res Mountain View CA 94043 USA Microsoft Mixed Real & AI Zurich Lab Zurich Switzerland Czech Tech Univ Visual Recognit Grp Prague Czech Republic
Objects moving at high speed appear significantly blurred when captured with cameras. The blurry appearance is especially ambiguous when the object has complex shape or texture. In such cases, classical methods, or ev... 详细信息
来源: 评论
computer vision-Based Detection and recognition Model of Objects for any Autonomous Systems in Low Illumination Condition  2
Computer Vision-Based Detection and Recognition Model of Obj...
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2nd International conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
作者: Ashok, P. Kavinilavu, A. Ananthi, S. Suganthi, P. Iniyan, E.U. Sri Sai Ram Institute of Technology Department of Computer Science and Engineering Chennai India 5Prathyusha Engineering College Department of Electronics and Communication Engineering Chennai India
The theories and methods it studies have received extensive attention in many disciplines and fields, promoting the development of artificial intelligence systems and expanding the possibilities of computer applicatio... 详细信息
来源: 评论
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
Automated Log-Scale Quantization for Low-Cost Deep Neural Ne...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Oh, Sangyun Sim, Hyeonuk Lee, Sugil Lee, Jongeun UNIST Dept Elect Engn Ulsan South Korea UNIST Dept Comp Sci & Engn Ulsan South Korea
Quantization plays an important role in deep neural network (DNN) hardware. In particular, logarithmic quantization has multiple advantages for DNN hardware implementations, and its weakness in terms of lower performa... 详细信息
来源: 评论
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
Spatially-Varying Outdoor Lighting Estimation from Intrinsic...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Yongjie Zhang, Yinda Li, Si Shi, Boxin Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing Peoples R China Google Mountain View CA 94043 USA Peking Univ Dept Comp Sci & Technol NELVT Beijing Peoples R China Peking Univ Inst Artificial Intelligence Beijing Peoples R China
We present SOLID-Net, a neural network for spatially-varying outdoor lighting estimation from a single outdoor image for any 2D pixel location. Previous work has used a unified sky environment map to represent outdoor... 详细信息
来源: 评论
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding
Cascaded Prediction Network via Segment Tree for Temporal Vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yang Zhao, Zhou Zhang, Zhu Lin, Zhijie Zhejiang Univ Coll Comp Sci Hangzhou Zhejiang Peoples R China
Temporal video grounding aims to localize the target segment which is semantically aligned with the given sentence in an untrimmed video. Existing methods can be divided into two main categories, including proposal-ba... 详细信息
来源: 评论
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbal...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wei, Chen Sohn, Kihyuk Mellina, Clayton Yuille, Alan Yang, Fan Johns Hopkins Univ Baltimore MD 21218 USA Google Cloud AI Mountain View CA USA Google Mountain View CA 94043 USA
Semi-supervised learning on class-imbalanced data, although a realistic problem, has been under studied. While existing semi-supervised learning (SSL) methods are known to perform poorly on minority classes, we find t... 详细信息
来源: 评论