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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是861-870 订阅
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Pseudo-label Generation for Agricultural Robotics Applications
Pseudo-label Generation for Agricultural Robotics Applicatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ciarfuglia, Thomas A. Motoi, Ionut Marian Saraceni, Leonardo Nardi, Daniele Sapienza Univ Rome Dept Comp Sci Management & Automat Engn DIAG Rome Italy
In the context of table grape cultivation there is rising interest in robotic solutions for harvesting, pruning, precision spraying and other agronomic tasks. Perception algorithms at the core of these systems require... 详细信息
来源: 评论
Localized Latent Updates for Fine-Tuning vision-Language Models
Localized Latent Updates for Fine-Tuning Vision-Language Mod...
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Ibing, Moritz Lim, Isaak Kobbelt, Leif Rwth Aachen University Visual Computing Institute Germany
Although massive pre-trained vision-language models like CLIP show impressive generalization capabilities for many tasks, still it often remains necessary to fine-tune them for improved performance on specific dataset... 详细信息
来源: 评论
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
Nerfels: Renderable Neural Codes for Improved Camera Pose Es...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Avraham, Gil Straub, Julian Shen, Tianwei Yang, Tsun-Yi Germain, Hugo Sweeney, Chris Balntas, Vasileios Novotny, David DeTone, Daniel Newcombe, Richard Monash Univ Clayton Vic Australia Ecole Ponts Champs Sur Marne France Facebook Real Labs Menlo Pk CA USA Facebook AI Res Menlo Pk CA USA
This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism. Our proposed 3D scene representation, Nerfels, is locally dense yet glob... 详细信息
来源: 评论
Human vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes
Human Vision Based 3D Point Cloud Semantic Segmentation of L...
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Yoo, Sunghwan Jeong, Yeonjeong Jameela, Maryam Sohn, Gunho York University Department of Earth and Space Science and Engineering TorontoONM3J 1P3 Canada
This paper proposes EyeNet, a novel semantic segmentation network for point clouds that addresses the critical yet often overlooked parameter of coverage area size. Inspired by human peripheral vision, EyeNet overcome... 详细信息
来源: 评论
Few-Shot Image Classification Along Sparse Graphs
Few-Shot Image Classification Along Sparse Graphs
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Comer, Joseph F. Jacobson, Philip L. Hoffmann, Heiko HRL Labs LLC 3011 Malibu Canyon Rd Malibu CA 90265 USA
Few-shot learning remains a challenging problem, with unsatisfactory 1-shot accuracies for most real-world data. Here, we present a new perspective for data distributions in the feature space of a deep network and sho... 详细信息
来源: 评论
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos
Tragedy Plus Time: Capturing Unintended Human Activities fro...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chakravarthy, Arnav Fang, Zhiyuan Yang, Yezhou Arizona State Univ Tempe AZ 85287 USA
In videos that contain actions performed unintentionally, agents do not achieve their desired goals. In such videos, it is challenging for computer vision systems to understand high-level concepts such as goal-directe... 详细信息
来源: 评论
Discriminability-enforcing loss to improve representation learning
Discriminability-enforcing loss to improve representation le...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Croitoru, Florinel-Alin Grigore, Diana-Nicoleta Ionescu, Radu Tudor Univ Bucharest Bucharest Romania
During the training process, deep neural networks implicitly learn to represent the input data samples through a hierarchy of features, where the size of the hierarchy is determined by the number of layers. In this pa... 详细信息
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In-Domain Inversion for Improved 3D Face Alignment on Asymmetrical Expressions  18
In-Domain Inversion for Improved 3D Face Alignment on Asymme...
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18th International conference on Automatic Face and Gesture recognition (FG)
作者: Barros, Jilliam M. Diaz Rambach, Jason Murthy, Pramod Stricker, Didier German Res Ctr Artificial Intelligence DFKI Kaiserslautern Germany RPTU Kaiserslautern Kaiserslautern Germany
Facial landmark detection, often termed as face alignment, is a well-studied research problem in computer vision. Nonetheless, face alignment on asymmetrical expressions has been overlooked in the literature, particul... 详细信息
来源: 评论
Perfusion assessment via local remote photoplethysmography (rPPG)
Perfusion assessment via local remote photoplethysmography (...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kossack, Benjamin Wisotzky, Eric Eisert, Peter Schraven, Sebastian P. Globke, Brigitta Hilsmann, Anna Fraunhofer Heinrich Hertz Inst Berlin Germany Humboldt Univ Berlin Germany Rostock Univ Dept Otorhinolaryngol Head & Neck Surg Otto Korne Med Ctr Rostock Germany Charite Univ Med Berlin Dept Surg Berlin Germany
This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately... 详细信息
来源: 评论
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual recognition
iCLIP: Bridging Image Classification and Contrastive Languag...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wei, Yixuan Cao, Yue Zhang, Zheng Peng, Houwen Yao, Zhuliang Xie, Zhenda Hue, Han Guo, Baining Tsinghua Univ Beijing Peoples R China Microsoft Res Asia Beijing Peoples R China
This paper presents a method that effectively combines two prevalent visual recognition methods, i.e., image classification and contrastive language-image pre-training, dubbed iCLIP. Instead of naive multi-task learni... 详细信息
来源: 评论