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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
31017 条 记 录,以下是4791-4800 订阅
排序:
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
Weakly-supervised Instance Segmentation via Class-agnostic L...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xinggang Feng, Jiapei Hu, Bin Ding, Qi Ran, Longjin Chen, Xiaoxin Liu, Wenyu Huazhong Univ Sci & Technol Wuhan Peoples R China VIVO Inc Pleasanton CA USA
Humans have a strong class-agnostic object segmentation ability and can outline boundaries of unknown objects precisely, which motivates us to propose a box-supervised class-agnostic object segmentation (BoxCaseg) bas... 详细信息
来源: 评论
Language-guided Image Reflection Separation
Language-guided Image Reflection Separation
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conference on computer vision and pattern recognition (CVPR)
作者: Haofeng Zhong Yuchen Hong Shuchen Weng Jinxiu Liang Boxin Shi National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University National Engineering Research Center of Visual Technology School of Computer Science Peking University AI Innovation Center School of Computer Science Peking University
This paper studies the problem of language-guided re-flection separation, which aims at addressing the ill-posed reflection separation problem by introducing language de-scriptions to provide layer content. We propose... 详细信息
来源: 评论
Learning Continuous Image Representation with Local Implicit Image Function
Learning Continuous Image Representation with Local Implicit...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Yinbo Liu, Sifei Wang, Xiaolong Univ Calif San Diego La Jolla CA 92093 USA NVIDIA Santa Clara CA USA
How to represent an image? While the visual world is presented in a continuous manner, machines store and see the images in a discrete way with 2D arrays of pixels. In this paper, we seek to learn a continuous represe... 详细信息
来源: 评论
DriveGAN: Towards a Controllable High-Quality Neural Simulation
DriveGAN: Towards a Controllable High-Quality Neural Simulat...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Seung Wook Philion, Jonah Torralba, Antonio Fidler, Sanja NVIDIA Santa Clara CA 95051 USA Univ Toronto Toronto ON Canada Vector Inst Toronto ON Canada MIT Cambridge MA 02139 USA
Realistic simulators are critical for training and verifying robotics systems. While most of the contemporary simulators are hand-crafted, a scaleable way to build simulators is to use machine learning to learn how th... 详细信息
来源: 评论
LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity
LayoutTransformer: Scene Layout Generation with Conceptual a...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Cheng-Fu Fan, Wan-Cyuan Yang, Fu-En Wang, Yu-Chiang Frank Natl Taiwan Univ Grad Inst Commun Engn Taipei Taiwan ASUS Intelligent Cloud Serv Taipei Taiwan
When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better exp... 详细信息
来源: 评论
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Semi-supervised Semantic Segmentation with Directional Conte...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lai, Xin Tian, Zhuotao Jiang, Li Liu, Shu Zhao, Hengshuang Wang, Liwei Jia, Jiaya Chinese Univ Hong Kong Hong Kong Peoples R China SmartMore Hong Kong Peoples R China Univ Oxford Oxford England
Semantic segmentation has made tremendous progress in recent years. However, satisfying performance highly depends on a large number of pixel-level annotations. Therefore, in this paper, we focus on the semi-supervise... 详细信息
来源: 评论
Improving Consistency in Cardiovascular Disease Risk Assessment: Cross-Camera Adaptation for Retinal Images
Improving Consistency in Cardiovascular Disease Risk Assessm...
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Weiyi Zhang Danli Shi Mingguang He School of Optometry The Hong Kong Polytechnic University Research Centre for SHARP Vision (RCSV) The Hong Kong Polytechnic University Centre for Eye and Vision Research (CEVR)
This paper introduces a novel cross-camera domain adaptation method to address the challenges associated with achieving consistency and adaptability in cardiovascular disease (CVD) risk assessment using retinal images... 详细信息
来源: 评论
Exploring the Benefits of vision Foundation Models for Unsupervised Domain Adaptation
Exploring the Benefits of Vision Foundation Models for Unsup...
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Brunó B. Englert Fabrizio J. Piva Tommie Kerssies Daan de Geus Gijs Dubbelman Eindhoven University of Technology
Achieving robust generalization across diverse data domains remains a significant challenge in computer vision. This challenge is important in safety-critical applications, where deep-neural-network-based systems must... 详细信息
来源: 评论
MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices
MobileHumanPose: Toward real-time 3D human pose estimation i...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Choi, Sangbum Choi, Seokeon Kim, Changick Korea Adv Inst Sci & Technol Daejeon South Korea
Currently, 3D pose estimation methods are not compatible with a variety of low computational power devices because of efficiency and accuracy. In this paper, we revisit a pose estimation architecture from a viewpoint ... 详细信息
来源: 评论
LPSNet: A lightweight solution for fast panoptic segmentation
LPSNet: A lightweight solution for fast panoptic segmentatio...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hong, Weixiang Guo, Qingpei Zhang, Wei Chen, Jingdong Chu, Wei Ant Financial Serv Grp Hangzhou Peoples R China
Panoptic segmentation is a challenging task aiming to simultaneously segment objects (things) at instance level and background contents (stuff) at semantic level. Existing methods mostly utilize a two-stage detection ... 详细信息
来源: 评论