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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4791-4800 订阅
排序:
A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
A Large-scale Comprehensive Dataset and Copy-overlap Aware E...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Sifeng Yang, Xudong Jiang, Chen Liang, Gang Zhang, Wei Pan, Tan Wang, Qing Xu, Furong Li, Chunguang Liu, Jingxiong Xu, Hui Huang, Kaiming Cheng, Yuan Qian, Feng Zhang, Xiaobo Yang, Lei Ant Grp Hangzhou Peoples R China
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annot... 详细信息
来源: 评论
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
N-Gram in Swin Transformers for Efficient Lightweight Image ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Choi, Haram Lee, Jeongmin Yang, Jihoon Sogang Univ Dept Comp Sci & Engn Seoul South Korea LG Innotek Seoul South Korea
While some studies have proven that Swin Transformer (Swin) with window self-attention (WSA) is suitable for single image super-resolution (SR), the plain WSA ignores the broad regions when reconstructing high-resolut... 详细信息
来源: 评论
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel De...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ding, Xiaohan Zhang, Xiangyu Han, Jungong Ding, Guiguang Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRis Sch Software Beijing Peoples R China MEGVII Technol Beijing Peoples R China Aberystwyth Univ Comp Sci Dept Aberystwyth SY23 3FL Dyfed Wales
We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that using a few large convolutional kernels inst... 详细信息
来源: 评论
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into vision-Language Models
Visual Program Distillation: Distilling Tools and Programmat...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hu, Yushi Stretcu, Otilia Lu, Chun-Ta Viswanathan, Krishnamurthy Hata, Kenji Luo, Enming Krishna, Ranjay Fuxman, Ariel Google Res Mountain View CA 94043 USA Univ Washington Seattle WA 98195 USA
Solving complex visual tasks such as "Who invented the musical instrument on the right?" involves a composition of skills: understanding space, recognizing instruments, and also retrieving prior knowledge. R... 详细信息
来源: 评论
ARCS: Accurate Rotation and Correspondence Search
ARCS: Accurate Rotation and Correspondence Search
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Peng, Liangzu Tsakiris, Manolis C. Vidal, Rene Johns Hopkins Univ Baltimore MD 21218 USA ShanghaiTech Univ Shanghai Peoples R China
This paper is about the old Wahba problem in its more general form, which we call "simultaneous rotation and correspondence search". In this generalization we need to find a rotation that best aligns two par... 详细信息
来源: 评论
SPIN: Simultaneous Perception, Interaction and Navigation
SPIN: Simultaneous Perception, Interaction and Navigation
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Uppal, Shagun Agarwal, Ananye Xiong, Haoyu Shaw, Kenneth Pathak, Deepak Carnegie Mellon Univ Pittsburgh PA 15213 USA
While there has been remarkable progress recently in the fields of manipulation and locomotion, mobile manipulation remains a long-standing challenge. Compared to locomotion or static manipulation, a mobile system mus... 详细信息
来源: 评论
LSVC: A Learning-based Stereo Video Compression Framework
LSVC: A Learning-based Stereo Video Compression Framework
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Zhenghao Lu, Guo Hu, Zhihao Liu, Shan Jiang, Wei Xu, Dong Univ Sydney Sydney NSW Australia Beijing Inst Technol Beijing Peoples R China Beihang Univ Beijing Peoples R China Tencent Amer Shenzhen Peoples R China
In this work, we propose the first end-to-end optimized framework for compressing automotive stereo videos (i.e., stereo videos from autonomous driving applications) from both left and right views. Specifically, when ... 详细信息
来源: 评论
DVC: An End-to-end Deep Video Compression Framework  32
DVC: An End-to-end Deep Video Compression Framework
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lu, Guo Ouyang, Wanli Xu, Dong Zhang, Xiaoyun Cai, Chunlei Gao, Zhiyong Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Sydney SenseTime Comp Vis Res Grp Sydney NSW Australia Univ Sydney Sydney NSW Australia
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking advantage of both classical architecture... 详细信息
来源: 评论
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry
Virtual Correspondence: Humans as a Cue for Extreme-View Geo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ma, Wei-Chiu Yang, Anqi Joyce Wang, Shenlong Urtasun, Raquel Torralba, Antonio MIT 77 Massachusetts Ave Cambridge MA 02139 USA Univ Toronto Toronto ON Canada Univ Illinois Urbana IL USA Waabi Toronto ON Canada Vector Inst Toronto ON Canada
Recovering the spatial layout of the cameras and the geometry of the scene from extreme-view images is a long-standing challenge in computer vision. Prevailing 3D reconstruction algorithms often adopt the image matchi... 详细信息
来源: 评论
Distilling Self-Supervised vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
Distilling Self-Supervised Vision Transformers for Weakly-Su...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kang, Dahyun Koniusz, Piotr Cho, Minsu Murray, Naila Meta AI Menlo Pk CA 94025 USA POSTECH Pohang South Korea CSIRO Data61 Canberra Australia Australian Natl Univ Canberra Australia
We address the task of weakly-supervised few-shot image classification and segmentation, by leveraging a vision Transformer (ViT) pretrained with self-supervision. Our proposed method takes token representations from ... 详细信息
来源: 评论