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检索条件"任意字段=2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011"
21099 条 记 录,以下是11-20 订阅
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Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
Visual Concept Connectome (VCC): Open World Concept Discover...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kowal, Matthew Wildes, Richard P. Derpanis, Konstantinos G. York Univ Toronto ON Canada Samsung AI Ctr Toronto Toronto ON Canada Vector Inst Toronto ON Canada
Understanding what deep network models capture in their learned representations is a fundamental challenge in computer vision. We present a new methodology to understanding such vision models, the Visual Concept Conne... 详细信息
来源: 评论
A Generative Approach for Wikipedia-Scale Visual Entity recognition
A Generative Approach for Wikipedia-Scale Visual Entity Reco...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Caron, Mathilde Iscen, Ahmet Fathi, Alireza Schmid, Cordelia Google Res San Francisco CA 94105 USA
In this paper, we address web-scale visual entity recognition, specifically the task of mapping a given query image to one of the 6 million existing entities in Wikipedia. One way of approaching a problem of such scal... 详细信息
来源: 评论
Learning to Count without Annotations
Learning to Count without Annotations
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Knobel, Lukas Han, Tengda Asano, Yuki M. Univ Amsterdam Amsterdam Netherlands Univ Oxford Oxford England
While recent supervised methods for reference-based object counting continue to improve the performance on benchmark datasets, they have to rely on small datasets due to the cost associated with manually annotating do... 详细信息
来源: 评论
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Probabilistic Sampling of Balanced K-Means using Adiabatic Q...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zaech, Jan-Nico Danelljan, Martin Birdal, Tolga Van Gool, Luc Swiss Fed Inst Technol Zurich Switzerland Univ Sofia INSAIT Sofia Bulgaria Imperial Coll London London England
Adiabatic quantum computing (AQC) is a promising approach for discrete and often NP-hard optimization problems. Current AQCs allow to implement problems of research interest, which has sparked the development of quant... 详细信息
来源: 评论
An Empirical Study of Scaling Law for Scene Text recognition
An Empirical Study of Scaling Law for Scene Text Recognition
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Rang, Miao Bi, Zhenni Liu, Chuanjian Wang, Yunhe Han, Kai Huawei Noahs Ark Lab Montreal PQ Canada
The laws of model size, data volume, computation and model performance have been extensively studied in the field of Natural Language Processing (NLP). However, the scaling laws in Scene Text recognition (STR) have no... 详细信息
来源: 评论
JoAPR: Cleaning the Lens of Prompt Learning for vision-Language Models
JoAPR: Cleaning the Lens of Prompt Learning for Vision-Langu...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Guo, Yuncheng Guo, Xiaodong Fudan Univ Dept Elect Engn Shanghai 200438 Peoples R China
Leveraging few-shot datasets in prompt learning for vision-Language Models eliminates the need for manual prompt engineering while highlighting the necessity of accurate annotations for the labels. However, high-level... 详细信息
来源: 评论
One-Shot Open Affordance Learning with Foundation Models
One-Shot Open Affordance Learning with Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Li, Gen Sun, Deqing Sevilla-Lara, Laura Jampani, Varun Univ Edinburgh Edinburgh Midlothian Scotland Google Res Mountain View CA USA Stabil AI London England
We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and affordances. While vision-language models e... 详细信息
来源: 评论
Florence-2: Advancing a Unified Representation for a Variety of vision Tasks
Florence-2: Advancing a Unified Representation for a Variety...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xiao, Bin Wu, Haiping Xu, Weijian Dai, Xiyang Hu, Houdong Lu, Yumao Zeng, Michael Liu, Ce Yuan, Lu Microsoft Corp Redmond WA 98052 USA
We introduce Florence-2, a novel vision foundation model with a unified, prompt-based representation for various computer vision and vision-language tasks. While ex-isting large vision models excel in transfer learnin... 详细信息
来源: 评论
Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action recognition
Selective, Interpretable and Motion Consistent Privacy Attri...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ilic, Filip Zhao, He Pock, Thomas Wildes, Richard P. Graz Univ Technol Graz Austria York Univ York N Yorkshire England
Concerns for the privacy of individuals captured in public imagery have led to privacy-preserving action recognition. Existing approaches often suffer from issues arising through obfuscation being applied globally and... 详细信息
来源: 评论
Evidential Active recognition: Intelligent and Prudent Open-World Embodied Perception
Evidential Active Recognition: Intelligent and Prudent Open-...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Fan, Lei Liang, Mingfu Li, Yunxuan Hua, Gang Wu, Ying Northwestern Univ Xian Shaanxi Peoples R China Wormpex AI Res Bellevue WA USA
Active recognition enables robots to intelligently explore novel observations, thereby acquiring more information while circumventing undesired viewing conditions. Recent approaches favor learning policies from simula... 详细信息
来源: 评论