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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是4791-4800 订阅
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Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing
Perception Matters: Detecting Perception Failures of VQA Mod...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yuan, Yuanyuan Wang, Shuai Jiang, Mingyue Chen, Tsong Yueh HKUST Hong Kong Peoples R China Zhejiang Sci Tech Univ Hangzhou Peoples R China Swinburne Univ Technol Hawthorn Vic Australia
Visual question answering (VQA) takes an image and a natural-language question as input and returns a natural-language answer. To date, VQA models are primarily assessed by their accuracy on high-level reasoning quest... 详细信息
来源: 评论
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring  30
Deep Multi-scale Convolutional Neural Network for Dynamic Sc...
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30th ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Nah, Seungjun Kim, Tae Hyun Lee, Kyoung Mu Seoul Natl Univ Dept ECE ASRI Seoul 151742 South Korea
Non-uniform blind deblurring for general dynamic scenes is a challenging computer vision problem as blurs arise not only from multiple object motions but also from camera shake, scene depth variation. To remove these ... 详细信息
来源: 评论
Image2Audio: Facilitating Semi-supervised Audio Emotion recognition with Facial Expression Image
Image2Audio: Facilitating Semi-supervised Audio Emotion Reco...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: He, Gewen Liu, Xiaofeng Fan, Fangfang You, Jane Florida State Univ Tallahassee FL 32306 USA Harvard Univ Cambridge MA 02138 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA HK PolyU Hong Kong Peoples R China
There is a large amount of public available labeled image-based facial expression recognition datasets. How could these images help for the audio emotion recognition with limited labeled data according to their inhere... 详细信息
来源: 评论
Dual Memory Networks: A Versatile Adaptation Approach for vision-Language Models
Dual Memory Networks: A Versatile Adaptation Approach for Vi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Yabin Zhu, Wenjie Tang, Hui Ma, Zhiyuan Zhou, Kaiyang Zh, Lei HKPolyU Hong Kong Peoples R China OPPO Hong Kong Peoples R China HKUST Hong Kong Peoples R China HKBU Hong Kong Peoples R China
With the emergence of pre-trained vision-language models like CLIP, how to adapt them to various downstream classification tasks has garnered significant attention in recent research. The adaptation strategies can be ... 详细信息
来源: 评论
SpotTune: Transfer Learning through Adaptive Fine-tuning  32
SpotTune: Transfer Learning through Adaptive Fine-tuning
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32nd ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Guo, Yunhui Shi, Honghui Kumar, Abhishek Grauman, Kristen Rosing, Tajana Feris, Rogerio IBM Res Yorktown Hts NY 10598 USA MIT IBM Watson AI Lab Cambridge MA 02142 USA Univ Calif San Diego San Diego CA 92103 USA Univ Texas Austin Austin TX 78712 USA Google Brain Mountain View CA USA
Transfer learning, which allows a source task to affect the inductive bias of the target task, is widely used in computer vision. The typical way of conducting transfer learning with deep neural networks is to fine-tu... 详细信息
来源: 评论
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yu, Shijie Li, Shihua Chen, Dapeng Zhao, Rui Yan, Junjie Qiao, Yu Chinese Acad Sci Shenzhen Inst Adv Technol ShenZhen Key Lab Comp Vis & Pattern Recognit SIAT SenseTime Joint Lab Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Microelect Beijing Peoples R China
Recent years have witnessed great progress in person reidentification (re-id). Several academic benchmarks such as Market1501, CUHK03 and DukeMTMC play important roles to promote the re-id research. To our best knowle... 详细信息
来源: 评论
Multi-Robot Active Mapping via Neural Bipartite Graph Matching
Multi-Robot Active Mapping via Neural Bipartite Graph Matchi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ye, Kai Dong, Siyan Fan, Qingnan Wang, He Yi, Li Xia, Fei Wang, Jue Chen, Baoquan Peking Univ Beijing Peoples R China Shandong Univ Jinan Peoples R China Tencent AI Lab Bellevue WA 98004 USA Tsinghua Univ Beijing Peoples R China Stanford Univ Stanford CA 94305 USA
We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimation to enable more efficient robot mov... 详细信息
来源: 评论
Neural Aggregation Network for Video Face recognition  30
Neural Aggregation Network for Video Face Recognition
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30th ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Jiaolong Ren, Peiran Zhang, Dongqing Chen, Dong Wen, Fang Li, Hongdong Hua, Gang Microsoft Res Redmond WA 98052 USA Australian Natl Univ Canberra ACT Australia Beijing Inst Technol Beijing Peoples R China
This paper presents a Neural Aggregation Network (NAN) for video face recognition. The network takes a face video or face image set of a person with a variable number of face images as its input, and produces a compac... 详细信息
来源: 评论
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation  32
Joint Representation and Estimator Learning for Facial Actio...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Yong Wu, Baoyuan Dong, Weiming Li, Zhifeng Liu, Wei Hu, Bao-Gang Ji, Qiang Tencent AI Lab Bellevue WA 98004 USA CASIA Natl Lab Pattern Recognit Beijing Peoples R China Rensselaer Polytech Inst Troy NY 12181 USA
Facial action unit (AU) intensity is an index to characterize human expressions. Accurate AU intensity estimation depends on three major elements: image representation, intensity estimator, and supervisory information... 详细信息
来源: 评论
Tell Me Where to Look: Guided Attention Inference Network  31
Tell Me Where to Look: Guided Attention Inference Network
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Kunpeng Wu, Ziyan Peng, Kuan-Chuan Ernst, Jan Fu, Yun Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA Siemens Corp Technol Princeton NJ USA
Weakly supervised learning with only coarse labels can obtain visual explanations of deep neural network such as attention maps by back-propagating gradients. These attention maps are then available as priors for task... 详细信息
来源: 评论