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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4991-5000 订阅
Is Multimodal vision Supervision Beneficial to Language?
Is Multimodal Vision Supervision Beneficial to Language?
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ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Avinash Madasu Vasudev Lal Department of Computer Science UNC Chapel Hill USA Cognitive Computing Research Intel Labs USA
vision (image & video) - Language (VL) pre-training is the recent popular paradigm that achieved state-of-the-art results on multi-modal tasks like image-retrieval, video-retrieval, visual question answering etc. ...
来源: 评论
Contrastive Learning for Depth Prediction
Contrastive Learning for Depth Prediction
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ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Rizhao Fan Matteo Poggi Stefano Mattoccia Department of Computer Science and Engineering University of Bologna Italy
Depth prediction is at the core of several computer vision applications, such as autonomous driving and robotics. It is often formulated as a regression task in which depth values are estimated through network layers....
来源: 评论
Prototype Augmentation and Self-Supervision for Incremental Learning
Prototype Augmentation and Self-Supervision for Incremental ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Fei Zhang, Xu-Yao Wang, Chuang Yin, Fei Liu, Cheng-Lin Chinese Acad Sci Inst Automat NLPR Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing 100190 Peoples R China
Despite the impressive performance in many individual tasks, deep neural networks suffer from catastrophic forgetting when learning new tasks incrementally. Recently, various incremental learning methods have been pro... 详细信息
来源: 评论
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-s...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yang, Zongxin Yu, Xin Yang, Yi Baidu Res Beijing Peoples R China Univ Technol Sydney ReLER Sydney NSW Australia
Compared to 2D object bounding-box labeling, it is very difficult for humans to annotate 3D object poses, especially when depth images of scenes are unavailable. This paper investigates whether we can estimate the obj... 详细信息
来源: 评论
Overlap Suppression Clustering for Offline Multi-Camera People Tracking
Overlap Suppression Clustering for Offline Multi-Camera Peop...
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ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Ryuto Yoshida Junichi Okubo Junichiro Fujii Masazumi Amakata Takayoshi Yamashita Yachiyo Engineering Co. Ltd. Chubu University
Multi-Camera People Tracking is a multifaceted issue that requires the integration of several computer vision tasks, such as Object Detection, Multiple Object Tracking, and Person Re-identification. This study present... 详细信息
来源: 评论
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB
Tuning IR-cut Filter for Illumination-aware Spectral Reconst...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Bo Yan, Junchi Zhou, Xiao Zheng, Yinqiang Univ Southern Calif Los Angeles CA 90007 USA Shanghai Jiao Tong Univ Shanghai Peoples R China Anhui Normal Univ Wuhu Peoples R China Univ Tokyo Tokyo Japan
To reconstruct spectral signals from multi-channel observations, in particular trichromatic RGBs, has recently emerged as a promising alternative to traditional scanning-based spectral imager. It has been proven that ... 详细信息
来源: 评论
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
Dynamic-OFA: Runtime DNN Architecture Switching for Performa...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lou, Wei Xun, Lei Sabet, Amin Bi, Jia Hare, Jonathon Merrett, Geoff, V Univ Southampton Southampton Hants England
Mobile and embedded platforms are increasingly required to efficiently execute computationally demanding DNNs across heterogeneous processing elements. At runtime, the available hardware resources to DNNs can vary con... 详细信息
来源: 评论
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Un...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xie, Zhenda Lin, Yutong Zhang, Zheng Cao, Yue Lin, Stephen Hu, Han Tsinghua Univ Beijing Peoples R China Xi An Jiao Tong Univ Xian Peoples R China Microsoft Res Asia Beijing Peoples R China
Contrastive learning methods for unsupervised visual representation learning have reached remarkable levels of transfer performance. We argue that the power of contrastive learning has yet to be fully unleashed, as cu... 详细信息
来源: 评论
Learning the Superpixel in a Non-iterative and Lifelong Manner
Learning the Superpixel in a Non-iterative and Lifelong Mann...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Lei She, Qi Zhang, Bin Lu, Yanye Lu, Zhilin Li, Duo Hu, Jie Peking Univ Hlth Sci Ctr Inst Med Technol Beijing Peoples R China Bytedance AI Lab Beijing Peoples R China Peking Univ Dept Biomed Engn Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Peking Univ Inst Biomed Engn Shenzhen Grad Sch Shenzhen Peoples R China
Superpixel is generated by automatically clustering pixels in an image into hundreds of compact partitions, which is widely used to perceive the object contours for its excellent contour adherence. Although some works... 详细信息
来源: 评论
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Adaptive Weighted Discriminator for Training Generative Adve...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zadorozhnyy, Vasily Cheng, Qiang Ye, Qiang Univ Kentucky Dept Math Lexington KY 40506 USA Univ Kentucky Inst Biomed Informat Dept Comp Sci Lexington KY 40506 USA Univ Kentucky Inst Biomed Informat Dept Internal Med Lexington KY 40506 USA
Generative adversarial network (GAN) has become one of the most important neural network models for classical unsupervised machine learning. A variety of discriminator loss functions have been developed to train GAN&#... 详细信息
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