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检索条件"任意字段=International Conference on Robot Vision and Signal Processing"
18111 条 记 录,以下是341-350 订阅
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PNetGPT: Proprietary Protocol Network Traffic Generation with Pre-trained Transformer
PNetGPT: Proprietary Protocol Network Traffic Generation wit...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Zedong Li Shijie Li Dongliang Fang Xin Chen Zhanwei Song Zhi Li Shichao Lv Limin Sun Beijing Key Laboratory of IOT Information Security Technology Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China
Generative pre-trained transformers are exceedingly effective as generative models and classifiers, widely used in natural language processing and computer vision. This work contributes to the exploration of generativ... 详细信息
来源: 评论
Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image
Beyond Point Annotation: A Weakly Supervised Network Guided ...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Jianning Chi Zelan Li Huixuan Wu Wenjun Zhang Ying Huang Faculty of Robot Science and Engineering Northeastern University Shenyang China Division of Biomedical Engineering University of Saskatchewan Saskatoon Canada Department of Ultrasound Shengjing Hospital of China Medical University Shenyang China
Weakly supervised methods typically guided the pixel-wise training by comparing the predictions to single-level labels containing diverse segmentation-related information at once, but struggled to represent subtle fea... 详细信息
来源: 评论
PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
PromptTA: Prompt-driven Text Adapter for Source-free Domain ...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Haoran Zhang Shuanghao Bai Wanqi Zhou Jingwen Fu Badong Chen Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China
Source-free domain generalization (SFDG) tackles the challenge of adapting models to unseen target domains without access to source domain data. To deal with this challenging task, recent advances in SFDG have primari... 详细信息
来源: 评论
Explainable Detection of Alzheimer’s Disease Through Analysis of Human Behavior in Video
Explainable Detection of Alzheimer’s Disease Through Analys...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Bao-Hsuan Huang Po-Chih Kuo Likai Huang Chaur-Jong Hu Cheng-Yu Chen Department of Computer Science National Tsing Hua University Hsinchu Taiwan Center and Department of Neurology Shuang-Ho Hospital New Taipei City Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei Taiwan
Current diagnostic methods for Alzheimer’s disease (AD), such as brain imaging and cognitive impairment questionnaires, are costly and time-consuming, making early detection challenging. In this work, we develop a co... 详细信息
来源: 评论
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Ping An Technology (Shenzhen) Co. Ltd Shenzhen China
As object detectors are increasingly deployed as black-box cloud services or pre-trained models with restricted access to the original training data, the challenge of zero-shot object-level out-of-distribution (OOD) d... 详细信息
来源: 评论
Learning Hierarchical Attribute Prompt for vision-Language Models
Learning Hierarchical Attribute Prompt for Vision-Language M...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Jun Liang Yang Peng Rui Luo Yunyu Zou Yalong Cheng Bingzhi Chen School of Artificial Intelligence South China Normal University Foshan China School of Artificial Intelligence Beijing Institute of Technology Zhuhai Zhuhai China
Prompt learning is a common strategy for adapting Visual Language Models (VLMs) to downstream tasks by fine-tuning prompts for task-specific performance. However, existing methods face two key challenges: overfitting ... 详细信息
来源: 评论
Impact of Glyph Information on Latent Space Diffusion Models for Accurate Handwritten Text Generation
Impact of Glyph Information on Latent Space Diffusion Models...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Ying-Li Lin Hao-Chung Cheng Chung-I Huang Chien-Yao Wang Jia-Ching Wang National Central University Taoyuan Taiwan National Center for High-Performance Computing Hsinchu Taiwan Institute of Information Science Academia Sinica Taipei Taiwan
The generation of high-quality stylized handwritten text images is a challenging task in computer vision and artificial intelligence. While advanced approaches using Latent Diffusion Models (LDMs) for generating styli... 详细信息
来源: 评论
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segment...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Shubh Singhal Raül Pérez-Gonzalo Andreas Espersen Antonio Agudo Institut de Robòtica i Informàtica Industrial CSIC-UPC Barcelona Spain Université de Toulon La Garde France Wind Power LAB Copenhagen Denmark
Accurate segmentation of wind turbine blade (WTB) images is critical for effective assessments, as it directly influences the performance of automated damage detection systems. Despite advancements in large universal ... 详细信息
来源: 评论
Diffusion-based Data Augmentation for Object Counting Problems
Diffusion-based Data Augmentation for Object Counting Proble...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Zhen Wang Yuelei Li Jia Wan Nuno Vasconcelos Department of Electrical and Computer Engineering University of California San Diego Harbin Institute of Technology (Shenzhen)
Crowd counting, an important problem in computer vision, is commonly solved with deep learning approaches, such as convolutional networks and transformers. However, Deep networks often overfit when the available label... 详细信息
来源: 评论
Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning
Semantic Hierarchical Prompt Tuning for Parameter-Efficient ...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Haowei Zhu Fangyuan Zhang Rui Qin Tianxiang Pan Junhai Yong Bin Wang School of Software Tsinghua University Beijing China
As the scale of vision models continues to grow, Visual Prompt Timing (VPT) has emerged as a parameter-efficient transfer learning technique, noted for its superior performance compared to full fine-tuning. However, i... 详细信息
来源: 评论