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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4571-4580 订阅
Multi-modal Aerial View Image Challenge: Sensor Domain Translation
Multi-modal Aerial View Image Challenge: Sensor Domain Trans...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Spencer Low Oliver Nina Dylan Bowald Angel D. Sappa Nathan Inkawhich Peter Bruns Brigham Young University Provo Utah Air Force Research Laboratory Dayton OH ESPOL Polytechnic University Ecuador Computer Vision Center Spain Air Force Research Laboratory Rome NY University of Utah Salt Lake UT
This paper describes the design, outcomes, and top methods of the 2nd annual Multi-modal Aerial View Image Challenge (MAVIC) aimed at cross modality aerial image translation. The primary objective of this competition ... 详细信息
来源: 评论
Guided Integrated Gradients: an Adaptive Path Method for Removing Noise
Guided Integrated Gradients: an Adaptive Path Method for Rem...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kapishnikov, Andrei Venugopalan, Subhashini Avci, Besim Wedin, Ben Terry, Michael Bolukbasi, Tolga Google Res Mountain View CA 94043 USA
Integrated Gradients (IG) [29] is a commonly used feature attribution method for deep neural networks. While IG has many desirable properties, the method often produces spurious/noisy pixel attributions in regions tha... 详细信息
来源: 评论
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning
Test-Time Fast Adaptation for Dynamic Scene Deblurring via M...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chi, Zhixiang Wang, Yang Yu, Yuanhao Tang, Jin Huawei Technol Noahs Ark Lab Shenzhen Peoples R China Univ Manitoba Winnipeg MB Canada
In this paper, we tackle the problem of dynamic scene deblurring. Most existing deep end-to-end learning approaches adopt the same generic model for all unseen test images. These solutions are sub-optimal, as they fai... 详细信息
来源: 评论
ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References
ChallenCap: Monocular 3D Capture of Challenging Human Perfor...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: He, Yannan Pang, Anqi Chen, Xin Liang, Han Wu, Minye Ma, Yuexin Xu, Lan ShanghaiTech Univ Shanghai Peoples R China Shanghai Engn Res Ctr Intelligent Vis & Imaging Shanghai Peoples R China
Capturing challenging human motions is critical for numerous applications, but it suffers from complex motion patterns and severe self-occlusion under the monocular setting. In this paper, we propose ChallenCap - a te... 详细信息
来源: 评论
OTA: Optimal Transport Assignment for Object Detection
OTA: Optimal Transport Assignment for Object Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ge, Zheng Liu, Songtao Liu, Zeming Yoshie, Osamu Sun, Jian Waseda Univ Tokyo Japan Megvii Technol Beijing Peoples R China
Recent advances in label assignment in object detection mainly seek to independently define positive/negative training samples for each ground-truth (gt) object. In this paper, we innovatively revisit the label assign... 详细信息
来源: 评论
Towards Part-Based Understanding of RGB-D Scans
Towards Part-Based Understanding of RGB-D Scans
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bokhovkin, Alexey Ishimtsev, Vladislav Bogomolov, Emil Zorin, Denis Artemov, Alexey Burnaev, Evgeny Dai, Angela Tech Univ Munich Munich Germany Skolkovo Inst Sci & Technol Moscow Russia NYU New York NY 10003 USA
Recent advances in 3D semantic scene understanding have shown impressive progress in 3D instance segmentation, enabling object-level reasoning about 3D scenes;however, a finer-grained understanding is required to enab... 详细信息
来源: 评论
General Instance Distillation for Object Detection
General Instance Distillation for Object Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dai, Xing Jiang, Zeren Wu, Zhao Bao, Yiping Wang, Zhicheng Liu, Si Zhou, Erjin MEGVII Technol Beijing Peoples R China BeiHang Univ Beijing Peoples R China
In recent years, knowledge distillation has been proved to be an effective solution for model compression. This approach can make lightweight student models acquire the knowledge extracted from cumbersome teacher mode... 详细信息
来源: 评论
Temporal Query Networks for Fine-grained Video Understanding
Temporal Query Networks for Fine-grained Video Understanding
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chuhan Gupta, Ankush Zisserman, Andrew Univ Oxford Oxford England DeepMind London England
Our objective in this work is fine-grained classification of actions in untrimmed videos, where the actions may be temporally extended or may span only a few frames of the video. We cast this into a query-response mec... 详细信息
来源: 评论
Global2Local: Efficient Structure Search for Video Action Segmentation
Global2Local: Efficient Structure Search for Video Action Se...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gao, Shang-Hua Han, Qi Li, Zhong-Yu Peng, Pai Wang, Liang Cheng, Ming-Ming Nankai Univ TKLNDST CS Tianjin Peoples R China Tencent Shenzhen Peoples R China NLPR Beijing Peoples R China
Temporal receptive fields of models play an important role in action segmentation. Large receptive fields facilitate the long-term relations among video clips while small receptive fields help capture the local detail... 详细信息
来源: 评论
The Third Monocular Depth Estimation Challenge
The Third Monocular Depth Estimation Challenge
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jaime Spencer Fabio Tosi Matteo Poggi Ripudaman Singh Arora Chris Russell Simon Hadfield Richard Bowden GuangYuan Zhou ZhengXin Li Qiang Rao YiPing Bao Xiao Liu Dohyeong Kim Jinseong Kim Myunghyun Kim Mykola Lavreniuk Rui Li Qing Mao Jiang Wu Yu Zhu Jinqiu Sun Yanning Zhang Suraj Patni Aradhye Agarwal Chetan Arora Pihai Sun Kui Jiang Gang Wu Jian Liu Xianming Liu Junjun Jiang Xidan Zhang Jianing Wei Fangjun Wang Zhiming Tan Jiabao Wang Albert Luginov Muhammad Shahzad Seyed Hosseini Aleksander Trajcevski James H. Elder Independent University of Bologna Blue River Technology Oxford Internet Institute University of Surrey ByteDance University of Chinese Academy of Science RGA Inc. Space Research Institute NASU-SSAU Kyiv Ukraine Northwestern Polytechnical University Indian Institute of Technology Delhi Harbin Institute of Technology Fujitsu GuangXi University University of Reading York University
This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-Patches dataset, featuring complex sc... 详细信息
来源: 评论