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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是4711-4720 订阅
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Intrinsic Image Harmonization
Intrinsic Image Harmonization
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Guo, Zonghui Zheng, Haiyong Jiang, Yufeng Gu, Zhaorui Zheng, Bing Ocean Univ China Underwater Vis Lab Qingdao Shandong Peoples R China Ocean Univ China Sanya Oceanog Inst Qingdao Shandong Peoples R China
Compositing an image usually inevitably suffers from inharmony problem that is mainly caused by incompatibility of foreground and background from two different images with distinct surfaces and lights, corresponding t... 详细信息
来源: 评论
Unsupervised Visual Representation Learning by Tracking Patches in Video
Unsupervised Visual Representation Learning by Tracking Patc...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Guangting Zhou, Yizhou Luo, Chong Xie, Wenxuan Zeng, Wenjun Xiong, Zhiwei Univ Sci & Technol China Hefei Anhui Peoples R China Microsoft Res Asia Beijing Peoples R China
Inspired by the fact that human eyes continue to develop tracking ability in early and middle childhood, we propose to use tracking as a proxy task for a computer vision system to learn the visual representations. Mod... 详细信息
来源: 评论
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
Siamese Natural Language Tracker: Tracking by Natural Langua...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Feng, Qi Ablavsky, Vitaly Bai, Qinxun Sclaroff, Stan Boston Univ Boston MA 02215 USA Univ Washington Seattle WA 98195 USA Horizon Robot Beijing Peoples R China
We propose a novel Siamese Natural Language Tracker (SNLT), which brings the advancements in visual tracking to the tracking by natural language (NL) descriptions task. The proposed SNLT is applicable to a wide range ... 详细信息
来源: 评论
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilate...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Qiu, Shi Anwar, Saeed Barnes, Nick Australian Natl Univ Canberra ACT Australia CSIRO Data61 Sydney NSW Australia
Given the prominence of current 3D sensors, a fine-grained analysis on the basic point cloud data is worthy of further investigation. Particularly, real point cloud scenes can intuitively capture complex surroundings ... 详细信息
来源: 评论
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
SSTVOS: Sparse Spatiotemporal Transformers for Video Object ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Duke, Brendan Ahmed, Abdalla Wolf, Christian Aarabi, Parham Taylor, Graham W. Univ Toronto Toronto ON Canada Univ Guelph Guelph ON Canada Univ Lyon INSA Lyon LIRIS Lyon France Modiface Inc Toronto ON Canada Vector Inst Toronto ON Canada
In this paper we introduce a Transformer-based approach to video object segmentation (VOS). To address compounding error and scalability issues of prior work, we propose a scalable, end-to-end method for VOS called Sp... 详细信息
来源: 评论
Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
Discrete-continuous Action Space Policy Gradient-based Atten...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yan, Shiyang Yu, Li Xie, Yuan Nanjing Univ Informat Sci & Technol Nanjing Peoples R China East China Normal Univ Shanghai Peoples R China
Image-text matching is an important multi-modal task with massive applications. It tries to match the image and the text with similar semantic information. Existing approaches do not explicitly transform the different... 详细信息
来源: 评论
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
AlphaMatch: Improving Consistency for Semi-supervised Learni...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Gong, Chengyue Wang, Dilin Liu, Qiang Univ Texas Austin Austin TX 78712 USA
Semi-supervised learning (SSL) is a key approach toward more data-efficient machine learning by jointly leverage both labeled and unlabeled data. We propose AlphaMatch, an efficient SSL method that leverages data augm... 详细信息
来源: 评论
Double low-rank representation with projection distance penalty for clustering
Double low-rank representation with projection distance pena...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Fu, Zhiqiang Zhao, Yao Chang, Dongxia Zhang, Xingxing Wang, Yiming Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China
This paper presents a novel, simple yet robust self-representation method, i.e., Double Low-Rank Representation with Projection Distance penalty (DLRRPD) for clustering. With the learned optimal projected representati... 详细信息
来源: 评论
Synthesize-It-Classifier: Learning a Generative Classifier through Recurrent Self-analysis
Synthesize-It-Classifier: Learning a Generative Classifier t...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Pal, Arghya Phan, Raphael C-W Wong, KokSheik Monash Univ Sch Informat Technol Malaysia Campus Subang Jaya Selangor Malaysia
We show the generative capability of an image classifier network by synthesizing high-resolution, photo-realistic, and diverse images at scale. The overall methodology, called Synthesize-It-Classifier (STIC), does not... 详细信息
来源: 评论
Progressive Temporal Feature Alignment Network for Video Inpainting
Progressive Temporal Feature Alignment Network for Video Inp...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zou, Xueyan Yang, Linjie Liu, Ding Lee, Yong Jae ByteDance Inc Beijing Peoples R China Univ Calif Davis Davis CA 95616 USA
Video inpainting aims to fill spatio-temporal "corrupted" regions with plausible content. To achieve this goal, it is necessary to find correspondences from neighbouring frames to faithfully hallucinate the ... 详细信息
来源: 评论