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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23095 条 记 录,以下是291-300 订阅
排序:
Unlocking the Potential of Pre-trained vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Unlocking the Potential of Pre-trained Vision Transformers f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Ziqin Xu, Hai-Ming Shu, Yangyang Liu, Lingqiao Univ Adelaide Adelaide SA Australia
The recent advent of pre-trained vision transformers has unveiled a promising property: their inherent capability to group semantically related visual concepts. In this paper, we explore to harnesses this emergent fea... 详细信息
来源: 评论
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Privacy Leakage of Adversarial Training Models in Federated ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jingyang Chen, Yiran Li, Hai Duke Univ Dept Elect & Comp Engn Durham NC 27706 USA
Adversarial Training (AT) is crucial for obtaining deep neural networks that are robust to adversarial attacks, yet recent works found that it could also make models more vulnerable to privacy attacks. In this work, w... 详细信息
来源: 评论
Variational Autoencoders for Generating Hyperspectral Imaging Honey Adulteration Data
Variational Autoencoders for Generating Hyperspectral Imagin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Phillips, Tessa Abdulla, Waleed Univ Auckland Auckland New Zealand
Honey fraud and adulteration are an increasing concern globally. Hyperspectral imaging and machine learning can detect adulterated honey within a known set of honey, where we have captured data at different sugar conc... 详细信息
来源: 评论
ABAW: Valence-Arousal Estimation, Expression recognition, Action Unit Detection & Multi-Task Learning Challenges
ABAW: Valence-Arousal Estimation, Expression Recognition, Ac...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kollias, Dimitrios Queen Mary Univ London London England
This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with ieee International conference on computer vision and pattern recognition (CVPR), 2022. The 3rd ABAW C... 详细信息
来源: 评论
Finding Lottery Tickets in vision Models via Data-driven Spectral Foresight Pruning
Finding Lottery Tickets in Vision Models via Data-driven Spe...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Iurada, Leonardo Ciccone, Marco Tommasi, Tatiana Politecn Torino Turin Italy
Recent advances in neural network pruning have shown how it is possible to reduce the computational costs and memory demands of deep learning models before training. We focus on this framework and propose a new prunin... 详细信息
来源: 评论
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Project...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wimmer, Thomas Wonka, Peter Ovsjanikov, Maks Ecole Polytech LIX Palaiseau France Tech Univ Munich Munich Germany KAUST Thuwal Saudi Arabia
With the immense growth of dataset sizes and computing resources in recent years, so-called foundation models have become popular in NLP and vision tasks. In this work, we propose to explore foundation models for the ... 详细信息
来源: 评论
Stronger, Fewer, & Superior: Harnessing vision Foundation Models for Domain Generalized Semantic Segmentation
Stronger, Fewer, & Superior: Harnessing Vision Foundation Mo...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wei, Zhixiang Chen, Lin Jin, Yi Ma, Xiaoxiao Liu, Tianle Ling, Pengyang Wang, Ben Chen, Huaian Zheng, Jinjin Univ Sci & Technol China Hefei Peoples R China Shanghai Ai Lab Shanghai Peoples R China
In this paper, we first assess and harness various vision Foundation Models (VFMs) in the context of Domain Generalized Semantic Segmentation (DGSS). Driven by the motivation that Leveraging Stronger pre-trained model... 详细信息
来源: 评论
ZeroShape: Regression-based Zero-shot Shape Reconstruction
ZeroShape: Regression-based Zero-shot Shape Reconstruction
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Huang, Zixuan Stojanov, Stefan Thai, Anh Jampani, Varun Rehg, James M. Univ Illinois Champaign IL 61820 USA Georgia Inst Technol Atlanta GA 30332 USA Stabil AI London England
We study the problem of single-image zero-shot 3D shape reconstruction. Recent works learn zero-shot shape reconstruction through generative modeling of 3D assets, but these models are computationally expensive at tra... 详细信息
来源: 评论
Test-Time Adaptation for Depth Completion
Test-Time Adaptation for Depth Completion
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Park, Hyoungseob Gupta, Anjali Wong, Alex Yale Vision Lab New Haven CT 06501 USA
It is common to observe performance degradation when transferring models trained on some (source) datasets to target testing data due to a domain gap between them. Existing methods for bridging this gap, such as domai... 详细信息
来源: 评论
Distilling vision-Language Models on Millions of Videos
Distilling Vision-Language Models on Millions of Videos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yue Zhao, Long Zhou, Xingyi Wu, Jialin Chu, Chun-Te Mia, Hui Schroff, Florian Adam, Hartwig Liu, Ting Gong, Boqing Krahenbuhl, Philipp Yuan, Liangzhe Google Res Mountain View CA 94043 USA Univ Texas Austin Austin TX 78712 USA
The recent advance in vision-language models is largely attributed to the abundance of image-text data. We aim to replicate this success for video-language models, but there simply is not enough human- curated video-t... 详细信息
来源: 评论