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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"
6858 条 记 录,以下是211-220 订阅
排序:
Towards Explaining Image-Based Distribution Shifts
Towards Explaining Image-Based Distribution Shifts
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kulinski, Sean Inouye, David I. Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA
Distribution shift can have fundamental consequences such as signaling a change in the operating environment or significantly reducing the accuracy of downstream models. Thus, understanding such distribution shifts is... 详细信息
来源: 评论
Rank in Style: A Ranking-based Approach to Find Interpretable Directions
Rank in Style: A Ranking-based Approach to Find Interpretabl...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kocasari, Umut Zaman, Kerem Tiftikci, Mert Simsar, Enis Yanardag, Pinar Bogazici Univ Istanbul Turkey TUM Munich Germany
Recent work such as StyleCLIP aims to harness the power of CLIP embeddings for controlled manipulations. Although these models are capable of manipulating images based on a text prompt, the success of the manipulation... 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
OutfitTransformer: Outfit Representations for Fashion Recommendation
OutfitTransformer: Outfit Representations for Fashion Recomm...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sarkar, Rohan Bodla, Navaneeth Vasileva, Mariya Lin, Yen-Liang Beniwal, Anurag Lu, Alan Medioni, Gerard Purdue Univ W Lafayette IN 47907 USA Amazon Seattle WA 98109 USA
Predicting outfit compatibility and retrieving complementary items are critical components for a fashion recommendation system. We present a scalable framework, Out-fitTransformer, that learns compatibility of the ent... 详细信息
来源: 评论
Dancing under the stars: video denoising in starlight
Dancing under the stars: video denoising in starlight
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2022 ieee/CVF conference on computer vision and pattern recognition, cvpr 2022
作者: Monakhova, Kristina Richter, Stephan R. Waller, Laura Koltun, Vladlen Uc Berkeley United States Intel Labs
Imaging in low light is extremely challenging due to low photon counts. Using sensitive CMOS cameras, it is currently possible to take videos at night under moonlight (0.05-0.3 lux illumination). In this paper, we dem... 详细信息
来源: 评论
Perceptual in-Loop Filter for Image and Video Compression
Perceptual in-Loop Filter for Image and Video Compression
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Huairui Ren, Guangjie Ouyang, Tong Zhang, Junxi Han, Wenwei Liu, Zizheng Chen, Zhenzhong Wuhan Univ Wuhan Peoples R China Tencent Media Lab Shenzhen Peoples R China
In this paper, we introduce our hybrid image and video compression scheme enhanced by CNN-optimized in-loop filter. Specifically, a Structure Preserving in-Loop Filter (SPiLF) is incorporated in the hybrid video codec... 详细信息
来源: 评论
Temporal Driver Action Localization using Action Classification Methods
Temporal Driver Action Localization using Action Classificat...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Alyahya, Munirah Alghannam, Shahad Alhussan, Taghreed Saudi Technol & Secur Comprehens Control Co Riyadh Saudi Arabia
Driver distraction recognition is an essential computer vision task that can play a key role in increasing traffic safety and reducing traffic accidents. In this paper, we propose a temporal driver action localization... 详细信息
来源: 评论
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Bangunharcana, Antyanta Kim, Soohyun Kim, Kyung-Soo Korea Adv Inst Sci & Technol Daejeon South Korea
This work focuses on improving the Conv-GRU-based optical flow update within a DROID-SLAM framework. Prior optical flow models typically follow a UNet or coarse-to-fine architecture in order to extract long-range cros... 详细信息
来源: 评论
Multimodal Shape Completion via Implicit Maximum Likelihood Estimation
Multimodal Shape Completion via Implicit Maximum Likelihood ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Arora, Himanshu Mishra, Saurabh Peng, Shichong Li, Ke Mahdavi-Amiri, Ali Simon Fraser Univ Burnaby BC Canada
Shape completion is the problem of completing partial input shapes such as partial scans. This problem finds important applications in computer vision and robotics due to issues such as occlusion or sparsity in real-w... 详细信息
来源: 评论
DNAS:A Decoupled Global Neural Architecture Search Method
DNAS:A Decoupled Global Neural Architecture Search Method
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xu, Kepeng He, Gang Xidian Univ Xian Peoples R China Kuaishou Technol Beijing Peoples R China
Neural Architecture Search (NAS) can automatically design model architecture with better performance. Current researchers have searched for local architecture similar to block, then stacked to construct entire models,... 详细信息
来源: 评论