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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23241 条 记 录,以下是4841-4850 订阅
Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Hanting Wang, Yunhe Guo, Tianyu Xu, Chang Deng, Yiping Liu, Zhenhua Ma, Siwei Xu, Chunjing Xu, Chao Gao, Wen Peking Univ Dept Machine Intelligence Key Lab Machine Percept MOE Beijing Peoples R China Huawei Technol Noahs Ark Lab Shenzhen Peoples R China Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia Huawei Technol Cent Software Inst Shenzhen Peoples R China Peking Univ Sch Elect Engn & Comp Sci Inst Digital Media Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectiveness over conventional methods. The big ... 详细信息
来源: 评论
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
Few-Shot Object Detection via Classification Refinement and ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Yiting Zhu, Haiyue Cheng, Yu Wang, Wenxin Teo, Chek Sing Xiang, Cheng Vadakkepat, Prahlad Lee, Tong Heng Natl Univ Singapore Singapore Singapore Agcy Sci Technol & Res SIMTech Singapore Singapore
We aim to tackle the challenging Few-Shot Object Detection (FSOD), where data-scarce categories are presented during the model learning. The failure modes of Faster-RCNN in FSOD are investigated, and we find that the ... 详细信息
来源: 评论
Efficient deformable shape correspondence via multiscale spectral manifold wavelets preservation
Efficient deformable shape correspondence via multiscale spe...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hu, Ling Li, Qinsong Liu, Shengjun Liu, Xinru Cent South Univ Inst Engn Modeling & Sci Comp Changsha Peoples R China Hunan First Normal Univ Sch Math & Computat Sci Changsha Peoples R China Cent South Univ State Key Lab High Performance Mfg Complex Changsha Peoples R China
The functional map framework has proven to be extremely effective for representing dense correspondences between deformable shapes. A key step in this framework is to formulate suitable preservation constraints to enc... 详细信息
来源: 评论
Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video
Improving Parkinson Detection using Dynamic Features from Ev...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gomez, Luis F. Morales, Aythami Orozco-Arroyave, Juan R. Daza, Roberto Fierrez, Julian Univ Autonoma Madrid Biometr & Data Pattern Analyt Lab Madrid Spain Univ Antioquia Medellin Colombia
Hypomimia, also known as "facial masking", is a common symptom of Parkinson's Disease (PD). PD is a neurological disorder characterized by non-motor and motor impairments. Hypomimia is the reduction of f... 详细信息
来源: 评论
Mutual Graph Learning for Camouflaged Object Detection
Mutual Graph Learning for Camouflaged Object Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhai, Qiang Li, Xin Yang, Fan Chen, Chenglizhao Cheng, Hong Fan, Deng-Ping UESTC Chengdu Peoples R China Grp 42 G42 Abu Dhabi U Arab Emirates Qingdao Univ Qingdao Peoples R China Incept Inst AI IIAI Abu Dhabi U Arab Emirates
Automatically detecting/segmenting object(s) that blend in with their surroundings is difficult for current models. A major challenge is that the intrinsic similarities between such foreground objects and background s... 详细信息
来源: 评论
Probabilistic Model Distillation for Semantic Correspondence
Probabilistic Model Distillation for Semantic Correspondence
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Xin Fan, Deng-Ping Yang, Fan Luo, Ao Cheng, Hong Liu, Zicheng Grp 42 G42 Abu Dhabi U Arab Emirates Inception Inst AI Abu Dhabi U Arab Emirates Megvii Technol Beijing Peoples R China UESTC Chengdu Peoples R China Microsoft Redmond WA USA
Semantic correspondence is a fundamental problem in computer vision, which aims at establishing dense correspondences across images depicting different instances under the same category. This task is challenging due t... 详细信息
来源: 评论
CG-based dataset generation and adversarial image conversion for deep cucumber recognition  18
CG-based dataset generation and adversarial image conversion...
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18th International conference on Machine vision and Applications (MVA)
作者: Masuzawa, Hiroaki Nakano, Chuo Miura, Jun Toyohashi Univ Technol Toyohashi Aichi Japan
This paper deals with deep cucumber recognition using CG (computer Graphics)-based dataset generation. The variety and the size of the dataset are crucial in deep learning. Although there are many public datasets for ... 详细信息
来源: 评论
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Tr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xinlong Zhang, Rufeng Shen, Chunhua Kong, Tao Li, Lei Univ Adelaide Adelaide SA Australia Tongji Univ Shanghai Peoples R China ByteDance AI Lab Beijing Peoples R China
To date, most existing self-supervised learning methods are designed and optimized for image classification. These pre-trained models can be sub-optimal for dense prediction tasks due to the discrepancy between image-... 详细信息
来源: 评论
Regressive Domain Adaptation for Unsupervised Keypoint Detection
Regressive Domain Adaptation for Unsupervised Keypoint Detec...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Junguang Ji, Yifei Wang, Ximei Liu, Yufeng Wang, Jianmin Long, Mingsheng Tsinghua Univ Sch Software BNRist Beijing Peoples R China Kuaishou Technol Y Tech Beijing Peoples R China
Domain adaptation (DA) aims at transferring knowledge from a labeled source domain to an unlabeled target domain. Though many DA theories and algorithms have been proposed, most of them are tailored into classificatio... 详细信息
来源: 评论
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
<i>DyGLIP</i>: A Dynamic Graph Model with Link Prediction fo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Quach, Kha Gia Pha Nguyen Le, Huu Truong, Thanh-Dat Duong, Chi Nhan Minh-Triet Tran Luu, Khoa Concordia Univ Montreal PQ Canada VinAI Res Hanoi Vietnam Chalmers Univ Technol Gothenburg Sweden Univ Arkansas Fayetteville AR 72701 USA VNU HCM Univ Sci Ho Chi Minh City Vietnam
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision problem due to its emerging applicability in several real-world applications. Despite a large number of existing works, solving the data ... 详细信息
来源: 评论