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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321-330 订阅
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Towards efficient feature sharing in MIMO architectures
Towards efficient feature sharing in MIMO architectures
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sun, Remy Rame, Alexandre Masson, Clement Thome, Nicolas Cord, Matthieu Sorbonne Univ MLIA ISIR Paris France Conservatoire Natl Arts & Metiers CEDRIC Vertigo Paris France Thales Land & Air Syst Elancourt France Valeo Ai Paris France
Multi-input multi-output architectures propose to train multiple subnetworks within one base network and then average the subnetwork predictions to benefit from ensembling for free. Despite some relative success, thes... 详细信息
来源: 评论
SAM: Pushing the Limits of Saliency Prediction Models  31
SAM: Pushing the Limits of Saliency Prediction Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cornia, Marcella Baraldi, Lorenzo Serra, Giuseppe Cmcidara, Rita Univ Modena & Reggio Emilia Modena Italy Univ Udine Udine Italy
The prediction of human eye fixations has been recently gaining a lot of attention thanks to the improvements shown by deep architectures. In our work, we go beyond classical feed-forward networks to predict saliency ... 详细信息
来源: 评论
Zero-shot Learning Using Multimodal Descriptions
Zero-shot Learning Using Multimodal Descriptions
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mall, Utkarsh Hariharan, Bharath Bala, Kavita Cornell Univ Ithaca NY 14853 USA
Zero-shot learning (ZSL) tackles the problem of recognizing unseen classes using only semantic descriptions, e.g., attributes. Current zero-shot learning techniques all assume that a single vector of attributes suffic... 详细信息
来源: 评论
Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation
Stargazer: A Transformer-based Driver Action Detection Syste...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Junwei Zhu, He Zhang, Enwei Zhang, Jun Tencent Youtu Lab Shenzhen Peoples R China Tsinghua Univ Beijing Peoples R China
Distracted driver actions can be dangerous and cause severe accidents. Thus, it is important to detect and eliminate distracted driving behaviors on the road to save lives. To this end, we study driver action detectio... 详细信息
来源: 评论
Reconstructing Spectral Images from RGB-Images using a Convolutional Neural Network  31
Reconstructing Spectral Images from RGB-Images using a Convo...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stiebel, Tarek Koppers, Simon Seltsam, Philipp Merhof, Dorit Rhein Westfal TH Aachen Inst Imaging & Comp Vis Aachen Germany
Recovering high-dimensional spectral images taken with spectrally low-dimensional camera systems, in the extreme case RGB-images, has been of great interest for a variety of applications. An accurate spectral reconstr... 详细信息
来源: 评论
Large-Scale Ecological Analyses of Animals in the Wild using computer vision  31
Large-Scale Ecological Analyses of Animals in the Wild using...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Timm, Mikayla Maji, Subhransu Fuller, Todd Univ Massachusetts Amherst MA 01003 USA
Camera traps are increasingly being deployed by ecologists and citizen-scientists as a cost-effective way of obtaining large amounts of animal images in the wild. In order to analyze this data, the images are labeled ... 详细信息
来源: 评论
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
Dressing in Order: Recurrent Person Image Generation for Pos...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cui, Aiyu McKee, Daniel Lazebnik, Svetlana Univ Illinois Champaign IL 61820 USA
We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks. The key to DiOr is a novel recurrent generation pi... 详细信息
来源: 评论
Parallel Generative Adversarial Network for Third-person to First-person Image Generation
Parallel Generative Adversarial Network for Third-person to ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Gaowen Latapie, Hugo Kilic, Ozkan Lawrence, Adam Cisco Res Emerging Technol & Incubat San Jose CA 95134 USA
Cross-view image generation has been recently proposed to generate images of one view from another dramatically different view. In this paper, we investigate third-person (exocentric) view to first-person (egocentric)... 详细信息
来源: 评论
Sample-free white-box out-of-distribution detection for deep learning
Sample-free white-box out-of-distribution detection for deep...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Begon, Jean-Michel Geurts, Pierre Univ Liege Liege Belgium
Being able to detect irrelevant test examples with respect to deployed deep learning models is paramount to properly and safely using them. In this paper, we address the problem of rejecting such out-of-distribution (... 详细信息
来源: 评论
Boundary-aware Image Inpainting with Multiple Auxiliary Cues
Boundary-aware Image Inpainting with Multiple Auxiliary Cues
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yamashita, Yohei Shimosato, Kodai Ukita, Norimichi Toyota Technol Inst Nagoya Japan
Image inpainting (a.k.a. image completion) allows us to remove unexpected foreground objects from an observed image and to restore the removed region with background pixels. The performance of image inpainting is impr... 详细信息
来源: 评论