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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4911-4920 订阅
排序:
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language recognition Challenge: Design, Results and Future Research
ChaLearn LAP Large Scale Signer Independent Isolated Sign La...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sincan, Ozge Mercanoglu Jacques Junior, Julio C. S. Escalera, Sergio Keles, Hacer Yalim Ankara Univ Ankara Turkey Comp Vis Ctr Barcelona Spain Univ Barcelona Barcelona Spain
The performances of Sign Language recognition (SLR) systems have improved considerably in recent years. However, several open challenges still need to be solved to allow SLR to be useful in practice. The research in t... 详细信息
来源: 评论
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lv, Xudong Wang, Boya Dou, Ziwen Ye, Dong Wang, Shuo Harbin Inst Technol Sch Instrumentat Sci & Engn Harbin Peoples R China
Multi-sensor fusion is for enhancing environment perception and 3D reconstruction in self-driving and robot navigation. Calibration between sensors is the precondition of effective multi-sensor fusion. Laborious manua... 详细信息
来源: 评论
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Diverse Branch Block: Building a Convolution as an Inception...
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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 Beijing Peoples R China Tsinghua Univ Sch Software Beijing Peoples R China MEGVII Technol Beijing Peoples R China Aberystwyth Univ Comp Sci Dept Aberystwyth SY23 3FL Dyfed Wales MEGVII Beijing Peoples R China
We propose a universal building block of Convolutional Neural Network (ConvNet) to improve the performance without any inference-time costs. The block is named Diverse Branch Block (DBB), which enhances the representa... 详细信息
来源: 评论
Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling
Learning Calibrated Medical Image Segmentation via Multi-rat...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ji, Wei Yu, Shuang Wu, Junde Ma, Kai Bian, Cheng Bi, Qi Li, Jingjing Liu, Hanruo Cheng, Li Zheng, Yefeng Tencent Jarvis Lab Shenzhen Peoples R China Univ Alberta Edmonton AB Canada Capital Med Univ Beijing Tongren Hosp Beijing Peoples R China
In medical image analysis, it is typical to collect multiple annotations, each from a different clinical expert or rater, in the expectation that possible diagnostic errors could be mitigated. Meanwhile, from the comp... 详细信息
来源: 评论
ReMOVE: A Reference-free Metric for Object Erasure
ReMOVE: A Reference-free Metric for Object Erasure
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ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Aditya Chandrasekar Goirik Chakrabarty Jai Bardhan Ramya Hebbalaguppe Prathosh AP TCS Research IISc Bangalore IIT Delhi
We introduce ReMOVE, a novel reference-free metric for assessing object erasure efficacy in diffusion-based image editing models post-generation. Unlike existing measures such as LPIPS and CLIPScore, ReMOVE addresses ... 详细信息
来源: 评论
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
UAV-Human: A Large Benchmark for Human Behavior Understandin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Tianjiao Liu, Jun Zhang, Wei Ni, Yun Wang, Wenqian Li, Zhiheng Singapore Univ Technol & Design Informat Syst Technol & Design Singapore Singapore Shandong Univ Sch Control Sci & Engn Jinan Shandong Peoples R China
Human behavior understanding with unmanned aerial vehicles (UAVs) is of great significance for a wide range of applications, which simultaneously brings an urgent demand of large, challenging, and comprehensive benchm... 详细信息
来源: 评论
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
MotionRNN: A Flexible Model for Video Prediction with Spacet...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wu, Haixu Yao, Zhiyu Wang, Jianmin Long, Mingsheng Tsinghua Univ Sch Software BNRist Beijing Peoples R China
This paper tackles video prediction from a new dimension of predicting spacetime-varying motions that are incessantly changing across both space and time. Prior methods mainly capture the temporal state transitions bu... 详细信息
来源: 评论
Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification
Phenology Alignment Network: A Novel Framework for Cross-Reg...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Ziqiao Zhang, Hongyan He, Wei Zhang, Liangpei Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China RIKEN Ctr Adv Intelligence Project AIP Tokyo 1030027 Japan
Timely and accurate crop type classification plays an essential role in the study of agricultural application. However, large area or cross-regional crop classification confronts huge challenges owing to dramatic phen... 详细信息
来源: 评论
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
Know Your Surroundings: Panoramic Multi-Object Tracking by M...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Yuhang Yu, Wentao Han, Jie Wei, Xing Hong, Xiaopeng Gong, Yihong Xi An Jiao Tong Univ Coll Artificial Intelligence Xian Peoples R China Xi An Jiao Tong Univ Sch Software Engn Xian Peoples R China Xi An Jiao Tong Univ Sch Cyber Sci & Engn Xian Peoples R China Peng Cheng Lab Res Ctr Artificial Intelligence Shenzhen Peoples R China
In this paper, we focus on the multi-object tracking (MOT) problem of automatic driving and robot navigation. Most existing MOT methods track multiple objects using a singular RGB camera, which are prone to camera fie... 详细信息
来源: 评论
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
ARVo: Learning All-Range Volumetric Correspondence for Video...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Dongxu Xu, Chenchen Zhang, Kaihao Yu, Xin Zhong, Yiran Ren, Wenqi Suominen, Hanna Li, Hongdong Australian Natl Univ Canberra ACT Australia DATA61 CSIRO Sydney NSW Australia UTS Sydney NSW Australia Chinese Acad Sci IIE Beijing Peoples R China Univ Turku Turku Finland
Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions. In order to utilize neighboring sharp patches, typical methods rely mainly on homography or optical flows to sp... 详细信息
来源: 评论