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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是4771-4780 订阅
排序:
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
SG-Net: Spatial Granularity Network for One-Stage Video Inst...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Dongfang Cui, Yiming Tan, Wenbo Chen, Yingjie Purdue Univ W Lafayette IN 47907 USA Univ Florida Gainesville FL 32611 USA Hangzhou Dian Zi Univ Hangzhou Zhejiang Peoples R China
Video instance segmentation (VIS) is a new and critical task in computer vision. To date, top-performing VIS methods extend the two-stage Mask R-CNN by adding a tracking branch, leaving plenty of room for improvement.... 详细信息
来源: 评论
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Alpha Invariance: On Inverse Scaling Between Distance and Vo...
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conference on computer vision and pattern recognition (CVPR)
作者: Joshua Ahn Haochen Wang Raymond A. Yeh Greg Shakhnarovich University of Chicago TTI-Chicago Purdue University
Scale-ambiguity in 3D scene dimensions leads to magnitude-ambiguity of volumetric densities in neural radiance fields, i.e., the densities double when scene size is halved, and vice versa. We call this property alpha ... 详细信息
来源: 评论
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
CausalVAE: Disentangled Representation Learning via Neural S...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Mengyue Liu, Furui Chen, Zhitang Shen, Xinwei Hao, Jianye Wang, Jun Huawei Noahs Ark Lab Shenzhen Peoples R China UCL London England Hong Kong Univ Sci & Technol Hong Kong Peoples R China
Learning disentanglement aims at finding a low dimensional representation which consists of multiple explanatory and generative factors of the observational data. The framework of variational autoencoder (VAE) is comm... 详细信息
来源: 评论
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervise...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Zijian Yang, Zhengyu Hu, Xuefeng Nevatia, Ram Univ Southern Calif Los Angeles CA 90007 USA
A common classification task situation is where one has a large amount of data available for training, but only a small portion is annotated with class labels. The goal of semi-supervised training, in this context, is... 详细信息
来源: 评论
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Deep Video Matting via Spatio-Temporal Alignment and Aggrega...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sun, Yanan Wang, Guanzhi Gu, Qiao Tang, Chi-Keung Tai, Yu-Wing HKUST Daejeon South Korea Stanford Univ Stanford CA 94305 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Kuaishou Technol Seoul South Korea
Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent technical challenges in reasoning te... 详细信息
来源: 评论
Remote Sensing Image Object Detection Method with Feature Denoising Fusion Module  7
Remote Sensing Image Object Detection Method with Feature De...
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7th ieee Advanced Information Technology, Electronic and Automation Control conference, IAEAC 2024
作者: Chen, Penghui Li, Qishen Li, Qiufeng Wu, Zhongyu Nanchang Hangkong University School of Information Engineering Jiangxi Nanchang China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Jiangxi Nanchang China Nanchang Hangkong University School of Software Jiangxi Nanchang China Jiangxi Nanchang China
Remote sensing object detection is an important research area in computer vision, widely applied in both military and civilian domains. However, challenges in remote sensing image object detection such as large image ... 详细信息
来源: 评论
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Lifelong Person Re-Identification via Adaptive Knowledge Acc...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pu, Nan Chen, Wei Liu, Yu Bakker, Erwin M. Lew, Michael S. Leiden Univ LIACS Media Lab Leiden Netherlands Dalian Univ Technol Int Sch Informat Sci & Engn Dalian Peoples R China
Person re-identification (ReID) methods always learn through a stationary domain that is fixed by the choice of a given dataset. In many contexts (e.g., lifelong learning), those methods are ineffective because the do... 详细信息
来源: 评论
Photo-Realistic Image Restoration in the Wild with Controlled vision-Language Models
Photo-Realistic Image Restoration in the Wild with Controlle...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schön Uppsala University Karolinska Institutet
Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets. Typically, diffusion models trained in specific datase... 详细信息
来源: 评论
Open-Vocabulary Object Detection Using Captions
Open-Vocabulary Object Detection Using Captions
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zareian, Alireza Dela Rosa, Kevin Hu, Derek Hao Chang, Shih-Fu Snap Inc Seattle WA 98121 USA Columbia Univ New York NY 10027 USA
Despite the remarkable accuracy of deep neural networks in object detection, they are costly to train and scale due to supervision requirements. Particularly, learning more object categories typically requires proport... 详细信息
来源: 评论
Pixel-aligned Volumetric Avatars
Pixel-aligned Volumetric Avatars
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Raj, Amit Zollhofer, Michael Simon, Tomas Saragih, Jason Saito, Shunsuke Hays, James Lombardi, Stephen Georgia Inst Technol Atlanta GA 30332 USA Facebook Real Labs Res Menlo Pk CA USA
Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality is achieved by volumetric approaches ... 详细信息
来源: 评论