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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是281-290 订阅
排序:
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits
OutfitGAN: Learning Compatible Items for Generative Fashion ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Moosaei, Maryam Lin, Yusan Akhazhanov, Ablaikhan Chen, Huiyuan Wang, Fei Yang, Hao Visa Res San Francisco CA 94158 USA Univ Calif Los Angeles Los Angeles CA 90024 USA Nazarbayev Univ Astana Kazakhstan
Fashion-on-demand is becoming an important concept for fashion industries. Many attempts have been made to leverage machine learning methods to generate fashion designs tailored to customers' tastes. However, how ... 详细信息
来源: 评论
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Shot in the Dark: Few-Shot Learning with No Base-Class Label...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Zitian Maji, Subhransu Learned-Miller, Erik Univ Massachusetts Amherst Amherst MA 01003 USA
Few-shot learning aims to build classifiers for new classes from a small number of labeled examples and is commonly facilitated by access to examples from a distinct set of 'base classes'. The difference in da... 详细信息
来源: 评论
AnimalFormer: Multimodal vision Framework for Behavior-based Precision Livestock Farming
AnimalFormer: Multimodal Vision Framework for Behavior-based...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Qazi, Ahmed Razzaq, Taha Iqbal, Asim Tibbling Technol Redmond WA 98052 USA
We introduce a multimodal vision framework for precision livestock farming, harnessing the power of GroundingDINO, HQSAM, and ViTPose models. This integrated suite enables comprehensive behavioral analytics from video... 详细信息
来源: 评论
Proceedings of the 2001 ieee computer Society conference on computer vision and pattern recognition. CVPR 2001
Proceedings of the 2001 IEEE Computer Society Conference on ...
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conference on computer vision and pattern recognition (CVPR)
来源: 评论
CPARR: Category-based Proposal Analysis for Referring Relationships
CPARR: Category-based Proposal Analysis for Referring Relati...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: He, Chuanzi Zhu, Haidong Gao, Jiyang Chen, Kan Nevatia, Ram Univ Southern Calif Los Angeles CA 90007 USA
The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of . This requires simultaneous localization of the subject and ob... 详细信息
来源: 评论
Modeling Fashion Compatibility with Explanation by using Bidirectional LSTM
Modeling Fashion Compatibility with Explanation by using Bid...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pang Kaicheng Zou Xingxing Wong, Wai Keung Hong Kong Polytech Univ Inst Text & Clothing Hong Kong Peoples R China Lab Artificial Intelligence Design Hong Kong Peoples R China
The goal of this paper is to model the fashion compatibility of an outfit and provide the explanations. We first extract features of all attributes of all items via convolutional neural networks, and then train the bi... 详细信息
来源: 评论
Towards Detailed Characteristic-Preserving Virtual Try-On
Towards Detailed Characteristic-Preserving Virtual Try-On
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lee, Sangho Lee, Seoyoung Lee, Joonseok Seoul Natl Univ Seoul South Korea
While virtual try-on has rapidly progressed recently, existing virtual try-on methods still struggle to faithfully represent various details of the clothes when worn. In this paper, we propose a simple yet effective m... 详细信息
来源: 评论
Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features
Conditioned and composed image retrieval combining and parti...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Baldrati, Alberto Bertini, Marco Uricchio, Tiberio Del Bimbo, Alberto Univ Firenze MICC Florence Italy Univ Pisa Pisa Italy
In this paper, we present an approach for conditioned and composed image retrieval based on CLIP features. In this extension of content-based image retrieval (CBIR) an image is combined with a text that provides infor... 详细信息
来源: 评论
IrrNet: Spatio-Temporal Segmentation guided Classification for Irrigation Mapping
IrrNet: Spatio-Temporal Segmentation guided Classification f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hoque, Oishee Bintey Univ Virginia Dept Comp Sci Charlottesville VA 22903 USA
Irrigation systems can vary widely in scale, from smallscale subsistence farming to large commercial agriculture (see Fig. 1 ). The heterogeneity in irrigation practices and systems across different regions adds to th... 详细信息
来源: 评论
DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging
DRHDR: A Dual branch Residual Network for Multi-Bracket High...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Marin-Vega, Juan Sloth, Michael Schneider-Kamp, Peter Rottger, Richard Univ Southern Denmark Dept Math & Comp Sci IMADA Odense Denmark Esoft Syst Odense Denmark
We introduce DRHDR, a Dual branch Residual Convolutional Neural Network for Multi-Bracket HDR Imaging. To address the challenges of fusing multiple brackets from dynamic scenes, we propose an efficient dual branch net... 详细信息
来源: 评论