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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是241-250 订阅
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Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Good at captioning, bad at counting: Benchmarking GPT-4V on ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chenhui Wang, Sherrie MIT Inst Data Syst & Soc 77 Massachusetts Ave Cambridge MA 02139 USA
Large vision-Language Models (VLMs) have demonstrated impressive performance on complex tasks involving visual input with natural language instructions. However, it remains unclear to what extent capabilities on natur... 详细信息
来源: 评论
Towards CNN map representation and compression for camera relocalisation  31
Towards CNN map representation and compression for camera re...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Contreras, Luis Mayol-Cuevas, Walterio Univ Bristol Dept Comp Sci Bristol Avon England
This paper presents a study on the use of Convolutional Neural Networks for camera relocalisation and its application to map compression. We follow state of the art visual relocalisation results and evaluate the respo... 详细信息
来源: 评论
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers
All You Can Embed: Natural Language based Vehicle Retrieval ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Scribano, Carmelo Sapienza, Davide Franchini, Giorgia Verucchi, Micaela Bertogna, Marko Univ Modena & Reggio Emilia Modena Italy Univ Ferrara Ferrara Italy Univ Parma Parma Italy
Combining Natural Language with vision represents a unique and interesting challenge in the domain of Artificial Intelligence. The AI City Challenge Track 5 for Natural Language-Based Vehicle Retrieval focuses on the ... 详细信息
来源: 评论
NTIRE 2022 Challenge on Learning the Super-Resolution Space
NTIRE 2022 Challenge on Learning the Super-Resolution Space
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lugmayr, Andreas Danelljan, Martin Timofte, Radu Kim, Kang-wook Kim, Younggeun Lee, Jae-young Li, Zechao Pan, Jinshan Shim, Dongseok Song, Ki-Ung Tang, Jinhui Wang, Cong Zhao, Zhihao Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
This paper reviews the NTIRE 2022 challenge on learning the super-Resolution space. This challenge aims to raise awareness that the super-resolution problem is ill-posed. Since many high-resolution images map to the s... 详细信息
来源: 评论
Practical Cross-modal Manifold Alignment for Robotic Grounded Language Learning
Practical Cross-modal Manifold Alignment for Robotic Grounde...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Nguyen, Andre T. Richards, Luke E. Kebe, Gaoussou Youssouf Raff, Edward Darvish, Kasra Ferraro, Frank Matuszek, Cynthia Booz Allen Hamilton Mclean VA 22102 USA Univ Maryland Baltimore Cty Baltimore MD 21228 USA
We propose a cross-modality manifold alignment procedure that leverages triplet loss to jointly learn consistent, multi-modal embeddings of language-based concepts of real-world items. Our approach learns these embedd... 详细信息
来源: 评论
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Yoga-82: A New Dataset for Fine-grained Classification of Hu...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Verma, Manisha Kumawat, Sudhakar Nakashima, Yuta Raman, Shanmuganathan Osaka Univ Osaka Japan Indian Inst Technol Gandhinagar Gandhinagar India
Human pose estimation is a well-known problem in computer vision to locate joint positions. Existing datasets for learning of poses are observed to be not challenging enough in terms of pose diversity, object occlusio... 详细信息
来源: 评论
CorrGAN: Input Transformation Technique Against Natural Corruptions
CorrGAN: Input Transformation Technique Against Natural Corr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Haque, Mirazul Budnik, Christof J. Yang, Wei UT Dallas Richardson TX 75080 USA Siemens Corp Technol Princeton NJ USA
Because of the increasing accuracy of Deep Neural Networks (DNNs) on different tasks, a lot of real times systems are utilizing DNNs. These DNNs are vulnerable to adversarial perturbations and corruptions. Specificall... 详细信息
来源: 评论
WiCV 2018: The Fourth Women In computer vision Workshop  31
WiCV 2018: The Fourth Women In Computer Vision Workshop
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Demir, Ilke Bazazian, Dena Romero, Adriana Sharmanska, Viktoriia Tchapmi, Lyne P. Facebook Menlo Pk CA 94025 USA Comp Vis Ctr Barcelona Spain Facebook AI Res Montreal PQ Canada Imperial Coll London London England Stanford Univ Stanford CA 94305 USA
We present WiCV 2018 - Women in computer vision Workshop to increase the visibility and inclusion of women researchers in computer vision field, organized in conjunction with CVPR 2018. computer vision and machine lea... 详细信息
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Improved Noise2Noise Denoising with Limited Data
Improved Noise2Noise Denoising with Limited Data
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Calvarons, Adria Font Tech Univ Munich Munich Germany
Deep learning methods have proven to be very effective for the task of image denoising even when clean reference images are not available. In particular, Noise2Noise, which requires pairs of noisy images during the tr... 详细信息
来源: 评论
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
An Adversarial Approach for Explaining the Predictions of De...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rahnama, Arash Tseng, Andrew Modzy Vienna VA 22182 USA
Machine learning models have been successfully applied to a wide range of applications including computer vision, natural language processing, and speech recognition. A successful implementation of these models howeve... 详细信息
来源: 评论