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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4861-4870 订阅
排序:
Bootstrapping SparseFormers from vision Foundation Models
Bootstrapping SparseFormers from Vision Foundation Models
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gao, Ziteng Tong, Zhan Lin, Kevin Qinghong Chen, Joya Shou, Mike Zheng Natl Univ Singapore Show Lab Singapore Singapore
The recently proposed SparseFormer architecture provides an alternative approach to visual understanding by utilizing a significantly lower number of visual tokens via adjusting RoIs, greatly reducing computational co... 详细信息
来源: 评论
Learning Compositional Representation for 4D Captures with Neural ODE
Learning Compositional Representation for 4D Captures with N...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Boyan Zhang, Yinda Wei, Xingkui Xue, Xiangyang Fu, Yanwei Fudan Univ Sch Comp Sci Shanghai Peoples R China Fudan Univ Shanghai Peoples R China Google Mountain View CA 94043 USA Fudan Univ Sch Data Sci MOE Frontiers Ctr Brain Sci Shanghai Peoples R China Fudan Univ Shanghai Key Lab Intelligent Informat Proc Shanghai Peoples R China
Learning based representation has become the key to the success of many computer vision systems. While many 3D representations have been proposed, it is still an unaddressed problem how to represent a dynamically chan... 详细信息
来源: 评论
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Jiachen Cheng, Bowen Feris, Rogerio Xiong, Jinjun Huang, Thomas S. Hwu, Wen-Mei Shi, Humphrey UIUC Champaign IL 61820 USA MIT IBM Watson AI Lab Cambridge MA USA IBM TJ Watson Res Ctr Ossining NY USA NVIDIA Santa Clara CA USA Univ Oregon Eugene OR 97403 USA Picsart AI Res PAIR Champaign IL USA
Current anchor-free object detectors are quite simple and effective yet lack accurate label assignment methods, which limits their potential in competing with classic anchor-based models that are supported by well-des... 详细信息
来源: 评论
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
Weakly supervised segmentation with point annotations for hi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Hongrun Burrows, Liam Meng, Yanda Sculthorpe, Declan Mukherjee, Abhik Coupland, Sarah E. Chen, Ke Zheng, Yalin Univ Liverpool Dept Eye & Vis Sci Liverpool Merseyside England Univ Liverpool Dept Math Sci Liverpool Merseyside England Univ Liverpool Ctr Math Imaging Techn Liverpool Merseyside England Univ Nottingham Biodiscovery Inst Sch Med Nottingham England Univ Liverpool Inst Syst Mol & Integrat Biol Liverpool Merseyside England
Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are availabl... 详细信息
来源: 评论
Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning
Deep Normalized Cross-Modal Hashing with Bi-Direction Relati...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Changchang Latapie, Hugo Liu, Gaowen Yan, Yan IIT Dept Comp Sci Chicago IL 60616 USA Cisco Res Emerging Technol & Incubat San Jose CA USA
Due to the continuous growth of large-scale multi-modal data and increasing requirements for retrieval speed, deep cross-modal hashing has gained increasing attention recently. Most of existing studies take a similari... 详细信息
来源: 评论
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
Memory Oriented Transfer Learning for Semi-Supervised Image ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Huaibo Yu, Aijing He, Ran Univ Chinese Acad Sci Ctr Excellence Brain Sci & Intelligence Technol Ctr Res Intelligent Percept & Comp Natl Lab Pattern RecognitCASIACAS Beijing Peoples R China
Deep learning based methods have shown dramatic improvements in image rain removal by using large-scale paired data of synthetic datasets. However, due to the various appearances of real rain streaks that may differ f... 详细信息
来源: 评论
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation
Towards Noiseless Object Contours for Weakly Supervised Sema...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Jing Fan, Junsong Zhang, Zhaoxiang Chinese Acad Sci CASIA Inst Automat Beijing Peoples R China Univ Chinese Acad Sci UCAS Beijing Peoples R China HKISI CAS Ctr Artificial Intelligence & Robot Beijing Peoples R China Natl Lab Pattern Recognit NLPR Beijing Peoples R China
Image-level label based weakly supervised semantic segmentation has attracted much attention since image labels are very easy to obtain. Existing methods usually generate pseudo labels from class activation map (CAM) ... 详细信息
来源: 评论
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Robust and Accurate Superquadric Recovery: a Probabilistic A...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Weixiao Wu, Yuwei Ruan, Sipu Chirikjian, Gregory S. Natl Univ Singapore Singapore Singapore Johns Hopkins Univ Baltimore MD 21218 USA
Interpreting objects with basic geometric primitives has long been studied in computer vision. Among geometric primitives, superquadrics are well known for their ability to represent a wide range of shapes with few pa... 详细信息
来源: 评论
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
Label Relation Graphs Enhanced Hierarchical Residual Network...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Jingzhou Wang, Peng Liu, Jian Qian, Yuntao Zhejiang Univ Coll Comp Sci Hangzhou Zhejiang Peoples R China Ant Financial Serv Grp Hangzhou Zhejiang Peoples R China
Hierarchical multi-granularity classification (HMC) assigns hierarchical multi-granularity labels to each object and focuses on encoding the label hierarchy, e.g., ["Albatross", "Laysan Albatross"]... 详细信息
来源: 评论
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
One-Shot Neural Ensemble Architecture Search by Diversity-Gu...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Minghao Fu, Jianlong Ling, Haibin SUNY Stony Brook Stony Brook NY 11794 USA Microsoft Res Asia Beijing Peoples R China Microsoft Beijing Peoples R China
Despite remarkable progress achieved, most neural architecture search (NAS) methods focus on searching for one single accurate and robust architecture. To further build models with better generalization capability and... 详细信息
来源: 评论