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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4361-4370 订阅
排序:
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
Building Reliable Explanations of Unreliable Neural Networks...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lim, Dohun Lee, Hyeonseok Kim, Sungchan Jeonbuk Natl Univ Div Comp Sci & Engn Jeonju South Korea
We present a novel method for reliably explaining the predictions of neural networks. We consider an explanation reliable if it identifies input features relevant to the model output by considering the input and the n... 详细信息
来源: 评论
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid
Blurry-Consistency Segmentation Framework with Selective Sta...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Thanh-Huy Nguyen Thi Kim Ngan Ngo Mai Anh Vu Ting-Yuan Tu Department of Biomedical Engineering IMBSL Lab National Cheng Kung University Tainan ROC
The ability of three-dimensional (3D) spheroid modeling to study the invasive behavior of breast cancer cells has drawn increased attention. The deep learning-based image processing framework is very effective at spee... 详细信息
来源: 评论
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
Joint Physical-Digital Facial Attack Detection Via Simulatin...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xianhua He Dashuang Liang Song Yang Zhanlong Hao Hui Ma Binjie Mao Xi Li Yao Wang Pengfei Yan Ajian Liu Vision AI Department Meituan M.U.S.T MAIS CASIA China
Face recognition systems are frequently subjected to a variety of physical and digital attacks of different types. Previous methods have achieved satisfactory performance in scenarios that address physical attacks and... 详细信息
来源: 评论
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supe...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Xiaokang Yuan, Yuhui Zeng, Gang Wang, Jingdong Peking Univ Key Lab Machine Percept MOE Beijing Peoples R China Microsoft Res Asia Beijing Peoples R China Microsoft Res Beijing Peoples R China
In this paper, we study the semi-supervised semantic segmentation problem via exploring both labeled data and extra unlabeled data. We propose a novel consistency regularization approach, called cross pseudo supervisi... 详细信息
来源: 评论
DER: Dynamically Expandable Representation for Class Incremental Learning
DER: Dynamically Expandable Representation for Class Increme...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yan, Shipeng Xie, Jiangwei He, Xuming ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai Engn Res Ctr Intelligent Vis & Imaging Shanghai Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
We address the problem of class incremental learning, which is a core step towards achieving adaptive vision intelligence. In particular, we consider the task setting of incremental learning with limited memory and ai... 详细信息
来源: 评论
TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
TAB: Text-Align Anomaly Backbone Model for Industrial Inspec...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Ho-Weng Lee Shang-Hong Lai Department of Computer Science National Tsing Hua University Taiwan
In recent years, the focus on anomaly detection and localization in industrial inspection tasks has intensified. While existing studies have demonstrated impressive outcomes, they often rely heavily on extensive train... 详细信息
来源: 评论
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
NeRF in the Wild: Neural Radiance Fields for Unconstrained P...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Martin-Brualla, Ricardo Radwan, Noha Sajjadi, Mehdi S. M. Barron, Jonathan T. Dosovitskiy, Alexey Duckworth, Daniel Google Res Mountain View CA 94043 USA
We present a learning-based method for synthesizing novel views of complex scenes using only unstructured collections of in-the-wild photographs. We build on Neural Radiance Fields (NeRF), which uses the weights of a ... 详细信息
来源: 评论
De-noised vision-language Fusion Guided by Visual Cues for E-commerce Product Search
De-noised Vision-language Fusion Guided by Visual Cues for E...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Zhizhang Hu Shasha Li Ming Du Arnab Dhua Douglas Gray University of California Merced Amazon Visual Search & AR
In e-commerce applications, vision-language multimodal transformer models play a pivotal role in product search. The key to successfully training a multimodal model lies in the alignment quality of image-text pairs in... 详细信息
来源: 评论
In the light of feature distributions: moment matching for Neural Style Transfer
In the light of feature distributions: moment matching for N...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kalischek, Nikolai Wegner, Jan D. Schindler, Konrad Swiss Fed Inst Technol Photogrammetry & Remote Sensing EcoVis Lab Zurich Switzerland
Style transfer aims to render the content of a given image in the graphical/artistic style of another image. The fundamental concept underlying Neural Style Transfer (NST) is to interpret style as a distribution in th... 详细信息
来源: 评论
3D Human Action Representation Learning via Cross-View Consistency Pursuit
3D Human Action Representation Learning via Cross-View Consi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Linguo Wang, Minsi Ni, Bingbing Wang, Hang Yang, Jiancheng Zhang, Wenjun Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China
In this work, we propose a Cross-view Contrastive Learning framework for unsupervised 3D skeleton-based action Representation (CrosSCLR), by leveraging multiview complementary supervision signal. CrosSCLR consists of ... 详细信息
来源: 评论