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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是261-270 订阅
排序:
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
Cross-view and Cross-pose Completion for 3D Human Understanding
Cross-view and Cross-pose Completion for 3D Human Understand...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Armando, Matthieu Galaaoui, Salma Baradel, Fabien Lucas, Thomas Leroy, Vincent Bregier, Romain Weinzaepfel, Philippe Rogez, Gregory NAVER LABS Europe Meylan France
Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained on large datasets. We hypothesize that... 详细信息
来源: 评论
Boosting Continual Learning of vision-Language Models via Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jiazuo Zhuge, Yunzhi Zhang, Lu Hu, Ping Wang, Dong Lu, Huchuan He, You Dalian Univ Technol Dalian Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China Tsinghua Univ Beijing Peoples R China
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset. However, mitigating the performance degradation in large-scale... 详细信息
来源: 评论
BigGait: Learning Gait Representation You Want by Large vision Models
BigGait: Learning Gait Representation You Want by Large Visi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ye, Dingqiang Fan, Chao Ma, Jingzhe Liu, Xiaoming Yu, Shiqi Southern Univ Sci & Technol Res Inst Trustworthy Autonomous Syst Shenzhen Peoples R China Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China Michigan State Univ E Lansing MI USA
Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities. However, existing gait recognition methods heavily rely on task... 详细信息
来源: 评论
AM-RADIO: Agglomerative vision Foundation Model Reduce All Domains Into One
AM-RADIO: Agglomerative Vision Foundation Model Reduce All D...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ranzinger, Mike Heinrich, Greg Kautz, Jan Molchanov, Pavlo NVIDIA Santa Clara CA 95051 USA
A handful of visual foundation models (VFMs) have recently emerged as the backbones for numerous downstream tasks. VFMs like CLIP, DINOv2, SAM are trained with distinct objectives, exhibiting unique characteristics fo... 详细信息
来源: 评论
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Flow-Guided Online Stereo Rectification for Wide Baseline St...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kumar, Anush Mannan, Fahim Jafari, Omid Hosseini Li, Shile Heider, Felix Torc Robot Blacksburg VA 24060 USA Princeton Univ Princeton NJ 08544 USA
Stereo rectification is widely considered "solved" due to the abundance of traditional approaches to perform rectification. However, autonomous vehicles and robots in-the-wild require constant re-calibration... 详细信息
来源: 评论
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optima...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tirado-Garin, Javier Civera, Javier Univ Zaragoza I3A Zaragoza Spain
Estimating the relative camera pose from n >= 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix ... 详细信息
来源: 评论
Improved Visual Grounding through Self-Consistent Explanations
Improved Visual Grounding through Self-Consistent Explanatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: He, Ruozhen Cascante-Bonilla, Paola Yang, Ziyan Berg, Alexander C. Ordonez, Vicente Rice Univ Houston TX 77005 USA Univ Calif Irvine Irvine CA USA
vision-and-language models trained to match images with text can be combined with visual explanation methods to point to the locations of specific objects in an image. Our work shows that the localization -"groun... 详细信息
来源: 评论
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetr...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Turki, Haithem Agrawal, Vasu Bulo, Samuel Rota Porzi, Lorenzo Kontschieder, Peter Ramanan, Deva Zollhofer, Michael Richardt, Christian Meta Real Labs Menlo Pk CA 94025 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA
Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to render. One reason is that they make use of volume rendering, thus requiring many samples (and model queries) per ray at re... 详细信息
来源: 评论
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neu...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ma, Ruichen Qiao, Guanchao Liu, Yian Meng, Liwei Ning, Ning Liu, Yang Hu, Shaogang Univ Elect Sci & Technol China Chengdu Peoples R China
Binary neural networks utilize 1-bit quantized weights and activations to reduce both the model's storage demands and computational burden. However, advanced binary architectures still incorporate millions of inef... 详细信息
来源: 评论