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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是441-450 订阅
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RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
RGBD Objects in the Wild: Scaling Real-World 3D Object Learn...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xia, Hongchi Fu, Yang Liu, Sifei Wang, Xiaolong Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Calif San Diego San Diego CA USA NVIDIA Santa Clara CA USA
We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direct capture of the depth channel allows... 详细信息
来源: 评论
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hy...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Chen Zhang, Tong Dang, Zheng Salzmann, Mathieu Ecole Polytech Fed Lausanne Lausanne Switzerland ClearSpace SA Renens Switzerland
Determining the relative pose of an object between two images is pivotal to the success of generalizable object pose estimation. Existing approaches typically approximate the continuous pose representation with a larg... 详细信息
来源: 评论
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Gene...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Zhixuan Schaldenbrand, Peter Okogwu, Beverley-Claire Peng, Wenxuan Yun, Youngsik Hundt, Andrew Kim, Jihie Oh, Jean Carnegie Mellon Univ Pittsburgh PA 15213 USA Nanyang Technol Univ Singapore Singapore Dongguk Univ Seoul South Korea
Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are known to produce images with harmful st... 详细信息
来源: 评论
A Transformer-based Late-Fusion Mechanism for Fine-Grained Object recognition in Videos
A Transformer-based Late-Fusion Mechanism for Fine-Grained O...
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23rd ieee/CVF Winter conference on Applications of computer vision (WACV)
作者: Koch, Jannik Wolf, Stefan Beyerer, Juergen Fraunhofer IOSB Karlsruhe Germany Karlsruhe Inst Technol Vis & Future Lab Karlsruhe Germany Fraunhofer Ctr Machine Learning Munich Germany
Fine-grained image classification is limited by only considering a single view while in many cases, like surveillance, a whole video exists which provides multiple perspectives. However, the potential of videos is mos... 详细信息
来源: 评论
Volumetric Environment Representation for vision-Language Navigation
Volumetric Environment Representation for Vision-Language Na...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Rui Wang, Wenguan Yan, Yi Zhejiang Univ CCAI ReLER Hangzhou Zhejiang Peoples R China
vision-language navigation (VLN) requires an agent to navigate through an 3D environment based on visual observations and natural language instructions. It is clear that the pivotal factor for successful navigation li... 详细信息
来源: 评论
SPIN: Simultaneous Perception, Interaction and Navigation
SPIN: Simultaneous Perception, Interaction and Navigation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Uppal, Shagun Agarwal, Ananye Xiong, Haoyu Shaw, Kenneth Pathak, Deepak Carnegie Mellon Univ Pittsburgh PA 15213 USA
While there has been remarkable progress recently in the fields of manipulation and locomotion, mobile manipulation remains a long-standing challenge. Compared to locomotion or static manipulation, a mobile system mus... 详细信息
来源: 评论
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
PEM: Prototype-based Efficient MaskFormer for Image Segmenta...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cavagnero, Niccolo Rosi, Gabriele Cuttano, Claudia Pistilli, Francesca Ciccone, Marco Averta, Giuseppe Cermelli, Fabio Politecn Torino Turin Italy Focoos AI Rome Italy
Recent transformer-based architectures have shown impressive results in the field of image segmentation. Thanks to their flexibility, they obtain outstanding performance in multiple segmentation tasks, such as semanti... 详细信息
来源: 评论
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversari...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Sibo Zhang, Jie Yuan, Zheng Shan, Shiguang Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Large-scale pre-trained vision-language models like CLIP have demonstrated impressive performance across various tasks, and exhibit remarkable zero-shot generalization capability, while they are also vulnerable to imp... 详细信息
来源: 评论
Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
Adapting Short-Term Transformers for Action Detection in Unt...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Min Gao, Huan Guo, Ping Wang, Limin Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Inchitech Beijing Peoples R China Intel Labs China Hillsboro OR USA Shanghai AI Lab Shanghai Peoples R China
vision Transformer (ViT) has shown high potential in video recognition, owing to its flexible design, adaptable self-attention mechanisms, and the efficacy of masked pretraining. Yet, it remains unclear how to adapt t... 详细信息
来源: 评论
Bootstrapping SparseFormers from vision Foundation Models
Bootstrapping SparseFormers from Vision Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gao, Ziteng Tong, Zhan Lin, Kevin Qinghong Chen, Joya Shou, Mike Zheng Natl Univ Singapore Show Lab Singapore Singapore
The recently proposed SparseFormer architecture provides an alternative approach to visual understanding by utilizing a significantly lower number of visual tokens via adjusting RoIs, greatly reducing computational co... 详细信息
来源: 评论