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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12857 条 记 录,以下是251-260 订阅
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Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
Unlocking Pre-trained Image Backbones for Semantic Image Syn...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Berrada, Tariq Verbeek, Jakob Couprie, Camille Alahari, Karteek Meta FAIR Menlo Pk CA 94025 USA Univ Grenoble Alpes LJK Grenoble INP InriaCNRS Grenoble France
Semantic image synthesis, i.e., generating images from user-provided semantic label maps, is an important conditional image generation task as it allows to control both the content as well as the spatial layout of gen... 详细信息
来源: 评论
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive vision-Language Alignment
CPLIP: Zero-Shot Learning for Histopathology with Comprehens...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Javed, Sajid Mahmood, Arif Ganapathil, Iyyakutti Iyappan Dharej, Fayaz Ali Werghil, Naoufel Bennamoun, Mohammed Khalifa Univ Sci & Technol Dept Comp Sci Abu Dhabi U Arab Emirates Khalifa Univ Sci & Technol C2PS Abu Dhabi U Arab Emirates Informat Technol Univ Punjab Lahore Pakistan Univ Western Australia Perth WA Australia
This paper proposes Comprehensive Pathology Language Image Pre-training (CPLIP), a new unsupervised technique designed to enhance the alignment of images and text in histopathology for tasks such as classification and... 详细信息
来源: 评论
Situational Awareness Matters in 3D vision Language Reasoning
Situational Awareness Matters in 3D Vision Language Reasonin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Man, Yunze Gui, Liang-Yan Wang, Yu-Xiong Univ Illinois Urbana IL 61801 USA
Being able to carry out complicated vision language reasoning tasks in 3D space represents a significant milestone in developing household robots and human-centered embodied AI. In this work, we demonstrate that a cri... 详细信息
来源: 评论
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion
WALT3D: Generating Realistic Training Data from Time-Lapse I...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Khiem Vuong Reddy, N. Dinesh Tamburo, Robert Narasimhan, Srinivasa G. Carnegie Mellon Univ Pittsburgh PA 15213 USA Amazon Seattle WA USA
Current methods for 2D and 3D object understanding struggle with severe occlusions in busy urban environments, partly due to the lack of large-scale labeled groundtruth annotations for learning occlusion. In this work... 详细信息
来源: 评论
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
Deep Prototypical-Parts Ease Morphological Kidney Stone Iden...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Flores-Araiza, Daniel Lopez-Tiro, Francisco El-Beze, Jonathan Hubert, Jacques Gonzalez, Miguel Ruiz, Gilberto Ochoa Daul, Christian Tecnol Monterrey Sch Engn Mexico City DF Mexico CHU Nancy Serv Urol Brabois Nancy France Univ Lorraine CRAN UMR 7039 Nancy France
Identifying the type of kidney stones can allow urologists to determine their cause of formation, improving the prescription of appropriate treatments to diminish future relapses. Currently, the associated ex-vivo dia... 详细信息
来源: 评论
LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation
LQMFormer: Language-aware Query Mask Transformer for Referri...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shah, Nisarg A. Vibashan, V. S. Patel, Vishal M. Johns Hopkins Univ Baltimore MD 21218 USA
Referring Image Segmentation (RIS) aims to segment objects from an image based on a language description. Recent advancements have introduced transformer-based methods that leverage cross-modal dependencies, significa... 详细信息
来源: 评论
Learning to Predict Activity Progress by Self-Supervised Video Alignment
Learning to Predict Activity Progress by Self-Supervised Vid...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Donahue, Gerard Elhamifar, Ehsan Northwestern Univ Boston MA 02115 USA
In this paper, we tackle the problem of self-supervised video alignment and activity progress prediction using in-the-wild videos. Our proposed self-supervised representation learning method carefully addresses differ... 详细信息
来源: 评论
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
SleepVST: Sleep Staging from Near-Infrared Video Signals usi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Carter, Jonathan F. Jorge, Joao Gibson, Oliver Tarassenkol, Lionel Univ Oxford Inst Biomed Engn Oxford England Oxehealth Ltd Oxford England
Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sleep stage. This has led to research in... 详细信息
来源: 评论
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangli...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Yankai Huang, Zhongzhen Zhang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Shanghai AI Lab Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China SenseTime Res Shanghai Peoples R China
The long-tailed distribution problem in medical image analysis reflects a high prevalence of common conditions and a low prevalence of rare ones, which poses a significant challenge in developing a unified model capab... 详细信息
来源: 评论
A Closer Look at the Few-Shot Adaptation of Large vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Lan...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Iguez, Julio Silva-Rodr Hajimiri, Sina Ben Ayed, Ismail Dolz, Jose ETS Montreal Montreal PQ Canada
Efficient transfer learning (ETL) is receiving increasing attention to adapt large pre-trained language-vision models on downstream tasks with a few labeled samples. While significant progress has been made, we reveal...
来源: 评论