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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是221-230 订阅
排序:
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descr...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Shuzhe Kannala, Juho Baratht, Daniel Aalto Univ Dept Comp Sci Espoo Finland Swiss Fed Inst Technol Comp Vision & Geometry Grp Zurich Switzerland
Matching 2D keypoints in an image to a sparse 3D point cloud of the scene without requiring visual descriptors has garnered increased interest due to its low memory requirements, inherent privacy preservation, and red... 详细信息
来源: 评论
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained vision Transfomers
Not All Prompts Are Secure: A Switchable Backdoor Attack Aga...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yang, Sheng Bai, Jiawang Gao, Kuofeng Yang, Yong Li, Yiming Xia, Shu-Tao Tsinghua Univ Beijing Peoples R China Tencent Secur Platform Dept Shenzhen Peoples R China Zhejiang Univ Hangzhou Peoples R China Peng Cheng Lab Res Ctr Artificial Intelligence Shenzhen Peoples R China
Given the power of vision transformers, a new learning paradigm, pretraining and then prompting, makes it more efficient and effective to address downstream visual recognition tasks. In this paper, we identify a novel... 详细信息
来源: 评论
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
CLIP as RNN: Segment Countless Visual Concepts without Train...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Shuyang Li, Runjia Torr, Philip Gu, Xiuye Li, Siyang Univ Oxford Oxford England Google Res Mountain View CA 94043 USA
Existing open-vocabulary image segmentation methods require a fine-tuning step on mask labels and/or image-text datasets. Mask labels are labor-intensive, which limits the number of categories in segmentation datasets... 详细信息
来源: 评论
Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers
Knowledge Distillation for Efficient Instance Semantic Segme...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Maohui Halstead, Michael McCool, Chris Univ Bonn Bonn Germany Lamarr Inst Machine Learning & Artificial Intelli Dortmund Germany
Instance-based semantic segmentation provides detailed per-pixel scene understanding information crucial for both computer vision and robotics applications. However, state-of-the-art approaches such as Mask2Former are... 详细信息
来源: 评论
HomoFormer: Homogenized Transformer for Image Shadow Removal
HomoFormer: Homogenized Transformer for Image Shadow Removal
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xiao, Jie Fu, Xueyang Zhu, Yurui Li, Dong Huang, Jie Zhu, Kai Zha, Zheng-Jun Univ Sci & Technol China Hefei Peoples R China Alibaba Grp Hangzhou Peoples R China
The spatial non-uniformity and diverse patterns of shadow degradation conflict with the weight sharing manner of dominant models, which may lead to an unsatisfactory compromise. To tackle with this issue, we present a... 详细信息
来源: 评论
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions
Pseudo-label based unsupervised fine-tuning of a monocular 3...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Suzuki, Tomohiro Tanaka, Ryota Takeda, Kazuya Fujii, Keisuke Nagoya Univ Nagoya Aichi Japan
Accurate motion capture is useful for sports motion analysis, but requires higher acquisition costs. Monocular or few camera multi-view pose estimation provides an accessible but less accurate alternative, especially ... 详细信息
来源: 评论
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segm...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yi Guo, Meng-Hao Wang, Miao Hu, Shi-Min Beihang Univ State Key Lab Virtual Real Technol & Syst SCSE Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol BNRist Beijing Peoples R China Tsinghua Univ Beijing Peoples R China
CLIP has demonstrated marked progress in visual recognition due to its powerful pre-training on large-scale image-text pairs. However, it still remains a critical challenge: how to transfer image-level knowledge into ... 详细信息
来源: 评论
Unlocking the Potential of Pre-trained vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Unlocking the Potential of Pre-trained Vision Transformers f...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Ziqin Xu, Hai-Ming Shu, Yangyang Liu, Lingqiao Univ Adelaide Adelaide SA Australia
The recent advent of pre-trained vision transformers has unveiled a promising property: their inherent capability to group semantically related visual concepts. In this paper, we explore to harnesses this emergent fea... 详细信息
来源: 评论
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
PELA: Learning Parameter-Efficient Models with Low-Rank Appr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Guo, Yangyang Wang, Guangzhi Kankanhalli, Mohan Natl Univ Singapore Singapore Singapore
Applying a pre-trained large model to downstream tasks is prohibitive under resource-constrained conditions. Re-cent dominant approaches for addressing efficiency issues involve adding a few learnable parameters to th... 详细信息
来源: 评论
Grounded Question-Answering in Long Egocentric Videos
Grounded Question-Answering in Long Egocentric Videos
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Di, Shangzhe Xie, Weidi Shanghai Jiao Tong Univ CMIC Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China
Existing approaches to video understanding, mainly designed for short videos from a third-person perspective, are limited in their applicability in certain fields, such as robotics. In this paper, we delve into open-e... 详细信息
来源: 评论