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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是531-540 订阅
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Evaluating Confidence Calibration in Endoscopic Diagnosis Models
Evaluating Confidence Calibration in Endoscopic Diagnosis Mo...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Dehghani, Nikoo Thijssen, Ayla van der Zander, Quirine E. W. Schreuder, Ramon-Michel Schoon, Erik J. van der Sommen, Fons de With, Peter H. N. Eindhoven Univ Technol Eindhoven Netherlands Maastricht Univ Med Ctr Maastricht Netherlands GROW Res Inst Oncol & Reprod Maastricht Netherlands Catharina Hosp Eindhoven Netherlands Eindhoven Artificial Intelligence Syst Inst Eindhoven Netherlands
Colorectal polyps are prevalent precursors to colorectal cancer, making their accurate characterization essential for timely intervention and patient outcomes. Deep learning-based computer-aided diagnosis (CADx) syste... 详细信息
来源: 评论
Super-Resolution Reconstruction from Bayer-pattern Spike Streams
Super-Resolution Reconstruction from Bayer-Pattern Spike Str...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Dong, Yanchen Xiong, Ruiqin Zhang, Jian Yu, Zhaofei Fan, Xiaopeng Zhu, Shuyuan Huang, Tiejun Peking Univ Sch Comp Sci Beijing Peoples R China Peking Univ Sch Elect & Comp Engn Beijing Peoples R China Peking Univ Inst Artificial Intelligence Beijing Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Harbin Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China
Spike camera is a neuromorphic vision sensor that can capture highly dynamic scenes by generating a continuous stream of binary spikes to represent the arrival of photons at very high temporal resolution. Equipped wit... 详细信息
来源: 评论
GLaMM: Pixel Grounding Large Multimodal Model
GLaMM: Pixel Grounding Large Multimodal Model
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Rasheed, Hanoona Maaz, Muhammad Shaji, Sahal Shaker, Abdelrahman Khan, Salman Cholakkal, Hisham Anwer, Rao M. Xing, Eric Yang, Ming-Hsuan Khan, Fahad S. Mohamed Bin Zayed Univ AI Abu Dhabi U Arab Emirates Australian Natl Univ Canberra ACT Australia Aalto Univ Espoo Finland Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Calif Merced Merced CA USA Linkoping Univ Linkoping Sweden Google Res Mountain View CA USA
Large Multimodal Models (LMMs) extend Large Language Models to the vision domain. Initial LMMs used holistic images and text prompts to generate ungrounded textual responses. Recently, region-level LMMs have been used... 详细信息
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DeiT-LT: Distillation Strikes Back for vision Transformer Training on Long-Tailed Datasets
DeiT-LT: Distillation Strikes Back for Vision Transformer Tr...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Rangwani, Harsh Mondal, Pradipto Mishra, Mayank Asokan, Ashish Ramayee Babu, R. Venkatesh Indian Inst Sci Bangalore Karnataka India Indian Inst Technol Kharagpur W Bengal India
vision Transformer (ViT) has emerged as a prominent architecture for various computer vision tasks. In ViT, we divide the input image into patch tokens and process them through a stack of self-attention blocks. Howeve... 详细信息
来源: 评论
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Julia Barnett, Alina Jade Donnelly, Jon Kishore, Satvik Fang, Jerry Schwartz, Fides Regina Chen, Chaofan Lo, Joseph Y. Rudin, Cynthia Duke Univ Durham NC 27708 USA Brigham & Womens Hosp 75 Francis St Boston MA 02115 USA Univ Maine Orono ME USA
Digital mammography is essential to breast cancer detection, and deep learning offers promising tools for faster and more accurate mammogram analysis. In radiology and other high-stakes environments, uninterpretable (... 详细信息
来源: 评论
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression recognition in-the-wild
MMA-DFER: MultiModal Adaptation of unimodal models for Dynam...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chumachenko, Kateryna Iosifidis, Alexandros Gabbouj, Moncef Tampere Univ Tampere Finland Aarhus Univ Aarhus Denmark
Dynamic Facial Expression recognition (DFER) has received significant interest in the recent years dictated by its pivotal role in enabling empathic and human-compatible technologies. Achieving robustness towards in-t... 详细信息
来源: 评论
DELTA: Decoupling Long-Tailed Online Continual Learning
DELTA: Decoupling Long-Tailed Online Continual Learning
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Raghavan, Siddeshwar He, Jiangpeng Zhu, Fengqing Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA
A significant challenge in achieving ubiquitous Artificial Intelligence is the limited ability of models to rapidly learn new information in real-world scenarios where data follows long-tailed distributions, all while... 详细信息
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Domain Targeted Synthetic Plant Style Transfer using Stable Diffusion, LoRA and ControlNet
Domain Targeted Synthetic Plant Style Transfer using Stable ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hartley, Zane K. J. Lind, Rob J. Pound, Michael P. French, Andrew P. Univ Nottingham Wollaton Rd Nottingham NG8 1BB England Syngenta Jealotts Hill Int Res Ctr Warfield England
Synthetic images can help alleviate much of the cost in the creation of training data for plant phenotyping-focused AI development. Synthetic-to-real style transfer is of particular interest to users of artificial dat... 详细信息
来源: 评论
Confidence-Aware RGB-D Face recognition via Virtual Depth Synthesis
Confidence-Aware RGB-D Face Recognition via Virtual Depth Sy...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chen, Zijian Wang, Mei Deng, Weihong Shi, Hongzhi Wen, Dongchao Zhang, Yingjie Cui, Xingchen Zhao, Jian Inspur Beijing Elect Informat Ind Co Ltd Beijing Peoples R China
2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose. Recent studies focus on RGB-D face recognition to improve robustness by incorporating depth inf... 详细信息
来源: 评论
FairCLIP: Harnessing Fairness in vision-Language Learning
FairCLIP: Harnessing Fairness in Vision-Language Learning
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Luol, Yan Shil, Min Khan, Muhammad Osama Afzal, Muhammad Muneeb Huang, Hao Yuan, Shuaihang Tian, Yu Song, Luo Kouhana, Ava Elze, Tobias Fang, Yi Wang, Mengyu Harvard Univ Harvard Ophthalmol AI Lab Cambridge MA 02138 USA NYU Tandon Sch Engn New York NY USA New York Univ Abu Dhabi Multimedia & Visual Comp Lab Abu Dhabi U Arab Emirates
Fairness is a critical concern in deep learning, especially in healthcare, where these models influence diagnoses and treatment decisions. Although fairness has been investigated in the vision-only domain, the fairnes... 详细信息
来源: 评论