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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition"
53167 条 记 录,以下是281-290 订阅
RMT: Retentive Networks Meet vision Transformers
RMT: Retentive Networks Meet Vision Transformers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fan, Qihang Huang, Huaibo Chen, Mingrui Liu, Hongmin He, Ran Chinese Acad Sci Inst Automat MAIS & CRIPAC Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Sci & Technol Beijing Beijing Peoples R China
vision Transformer (ViT) has gained increasing attention in the computer vision community in recent years. However, the core component of ViT, Self-Attention, lacks explicit spatial priors and bears a quadratic comput... 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
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
PELA: Learning Parameter-Efficient Models with Low-Rank Appr...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guo, Yangyang Wang, Guangzhi Kankanhalli, Mohan Natl Univ Singapore Singapore Singapore
Applying a pre-trained large model to downstream tasks is prohibitive under resource-constrained conditions. Re-cent dominant approaches for addressing efficiency issues involve adding a few learnable parameters to th... 详细信息
来源: 评论
Synthesize, Diagnose, and Optimize: Towards Fine-Grained vision-Language Understanding
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vis...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Peng, Wujian Xi, Sicheng You, Zuyao Lan, Shiyi Wu, Zuxuan Fudan Univ Sch CS Shanghai Key Lab Intell Info Proc Shanghai Peoples R China Shanghai Collaborat Innovat Ctr Intelligent Visua Shanghai Peoples R China NVIDIA Shenzhen Guangdong Peoples R China
vision language models (VLM) have demonstrated remarkable performance across various downstream tasks. However, understanding fine-grained visual-linguistic concepts, such as attributes and inter-object relationships,... 详细信息
来源: 评论
ViT-CoMer: vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
ViT-CoMer: Vision Transformer with Convolutional Multi-scale...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xia, Chunlong Wang, Xinliang Lv, Feng Hao, Xin Shi, Yifeng Baidu Inc Beijing Peoples R China
Although vision Transformer (ViT) has achieved significant success in computer vision, it does not perform well in dense prediction tasks due to the lack of inner-patch information interaction and the limited diversit... 详细信息
来源: 评论
Video Based Computational Coding of Movement Anomalies in ASD Children
Video Based Computational Coding of Movement Anomalies in AS...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Singh, Priya Pathak, Abhishek Ganai, Umer Jon Bhushan, Braj Subramanian, Venkatesh K. TCS Res Mumbai Maharashtra India Indian Inst Technol Kanpur Kanpur India Airbase Labs India Pvt Ltd Bengaluru India
Autism spectrum disorder (ASD) is a neurodevelopmental disorder. Early detection and diagnosis are instrumental in early intervention, yet diagnosis often remains delayed due to the limited availability of clinical pr... 详细信息
来源: 评论
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
On the test-time zero-shot generalization of vision-language...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zanella, Maxime Ben Ayed, Ismail UCLouvain Louvain Belgium UMons Mons Belgium ETS Montreal Montreal PQ Canada
The development of large vision-language models, notably CLIP, has catalyzed research into effective adaptation techniques, with a particular focus on soft prompt tuning. Conjointly, test-time augmentation, which util... 详细信息
来源: 评论
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Compositional Chain-of-Thought Prompting for Large Multimoda...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mitra, Chancharik Huang, Brandon Darrell, Trevor Herzig, Roei Univ Calif Berkeley Berkeley CA 94720 USA
The combination of strong visual backbones and Large Language Model (LLM) reasoning has led to Large Multimodal Models (LMMs) becoming the current standard for a wide range of vision and language (VL) tasks. However, ... 详细信息
来源: 评论
ShapeWalk: Compositional Shape Editing through Language-Guided Chains
ShapeWalk: Compositional Shape Editing through Language-Guid...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Slim, Habib Elhoseiny, Mohamed KAUST Thuwal Saudi Arabia
Editing 3D shapes through natural language instructions is a challenging task that requires the comprehension of both language semantics and fine-grained geometric details. To bridge this gap, we introduce ShapeWalk, ... 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