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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是61-70 订阅
排序:
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
Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers
Scene Representation in Bird's-Eye View from Surrounding Cam...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yun Zhang, Yu Gong, Zhan Zhu, Hong Inspur Elect Informat Ind Co Ltd Dept AI & HPC Beijing Peoples R China
Scene representation in the bird's-eye-view (BEV) coordinate frame provides a succinct and effective way to understand surrounding environments for autonomous vehicles and robotics. In this work, we present an end... 详细信息
来源: 评论
AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images
AAFormer: A Multi-Modal Transformer Network for Aerial Agric...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Yao Wang, Lei Jin, Yue China Pacific Insurance Grp Co Ltd Shanghai Peoples R China East China Normal Univ Shanghai Peoples R China
The semantic segmentation of agricultural aerial images is very important for the recognition and analysis of farmland anomaly patterns, such as drydown, endrow, nutrient deficiency, etc. Methods for general semantic ... 详细信息
来源: 评论
Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental Learning
Attenuating Catastrophic Forgetting by Joint Contrastive and...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ferdinand, Quentin Clement, Benoit Oliveau, Quentin Le Chenadec, Gilles Papadakis, Panagiotis Naval Grp Res Cherbourg En Cotentin France ENSTA Bretagne Lab STICC UMR 6285 Brest France IMT Atlantique Lab STICC UMR 6285 Brest France
In class incremental learning, discriminative models are trained to classify images while adapting to new instances and classes incrementally. Training a model to adapt to new classes without total access to previous ... 详细信息
来源: 评论
Self-Supervised Variable Rate Image Compression using Visual Attention
Self-Supervised Variable Rate Image Compression using Visual...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Space Applicat Ctr Signal & Image Proc Grp Ahmadabad Gujarat India
The recent success of self-supervised learning relies on its ability to learn the representations from self-defined pseudo-labels that are applied to several downstream tasks. Motivated by this ability, we present a d... 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
Super-Resolution based Video Coding Scheme
Super-Resolution based Video Coding Scheme
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cho, Hyun Min Choi, Kiho Gacheon Univ Sch Comp 1342 Seongnamdaero Seongnam Si Gyeonggi Do South Korea
In this paper, we present a super-resolution-based video coding scheme that compresses video data by combining traditional hybrid video coding and Convolutional neural network-based video coding. During video encoding... 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
3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds
3D Room Layout Recovery Generalizing across Manhattan and No...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jia, Haijing Yi, Hong Fujiki, Hirochika Zhang, Hengzhi Wang, Wei Odamaki, Makoto Ricoh Software Res Ctr Beijing Co Ltd Beijing Peoples R China Ricoh Co Ltd Tokyo Japan
Recent 3D room layout recovery approaches mostly concentrate on Manhattan layouts, where the vertical walls are orthogonal with respect to each other, even though there are many rooms with non-Manhattan layouts in the... 详细信息
来源: 评论
Continual Hippocampus Segmentation with Transformers
Continual Hippocampus Segmentation with Transformers
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ranem, Amin Gonzalez, Camila Mukhopadhyay, Anirban Tech Univ Darmstadt GRIS Karolinenpl 5 D-64289 Darmstadt Germany
In clinical settings, where acquisition conditions and patient populations change over time, continual learning is key for ensuring the safe use of deep neural networks. Yet most existing work focuses on convolutional... 详细信息
来源: 评论