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检索条件"任意字段=International Conference on Robot Vision and Signal Processing"
18085 条 记 录,以下是121-130 订阅
排序:
MSRFormer: Hybrid Scale Self-Attention and Local Fast Convolution Transformer for Facial Expression Recognition
MSRFormer: Hybrid Scale Self-Attention and Local Fast Convol...
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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Shen, Zi-Qiang Tang, Yu-Yi Yan, Jun-Feng Li, Yang Zhao, Guo-Ying Hunan University of Chinese Medicine China Hunan Digital Chinese Medicine Engineering Technology Research Center China Center for Machine Vision Research Department of Computer Science and Engineering University of Oulu Finland
With the emergence of the Transformer architecture, the accuracy of deep learning within the domain of facial emotion recognition has seen further enhancement. However, Transformer comes with increased training comple... 详细信息
来源: 评论
CEMSSL: Conditional Embodied Self-Supervised Learning is All You Need for High-precision Multi-solution Inverse Kinematics of robot Arms
CEMSSL: Conditional Embodied Self-Supervised Learning is All...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Qu Weiming Liu Tianlin Du Jiawei Luo Dingsheng School of Intelligence Science and Technology Peking University Beijing China
In the field of signal processing for robotics, the inverse kinematics of robot arms presents a significant challenge due to multiple solutions caused by redundant degrees of freedom (DOFs). Precision is also a crucia... 详细信息
来源: 评论
Investigation of the Impact of EEG signal processing Techniques on Classification Performance  3rd
Investigation of the Impact of EEG Signal Processing Techniq...
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3rd international conference on Machine vision and Augmented Intelligence, MAI 2023
作者: Babu, Shyam Wadhwani, Arun Kumar Department of Electrical Engineering Madhav Institute of Technology and Science Gwalior India
This research paper is aimed at a practical analysis of the impact of the electroencephalogram (EEG) signal processing techniques on novel classification algorithms. The study examines how newly developed classificati... 详细信息
来源: 评论
Optimal Maneuvering of Autonomous Wheeled Vehicles Based on Predictive Control Using Curvature Function
Optimal Maneuvering of Autonomous Wheeled Vehicles Based on ...
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Digital signal processing and its Applications (DSPA), international conference on
作者: Dmitry Khablov Laboratory of Technical Control Tools V. A. Trapeznikov Institute of Control Sciences of the RAS Moscow Russia
In this work, we explore the possibilities of improving the characteristics of mobile robots based on wheeled vehicles, using the optimization of their movement along the route, taking into account kinematic character... 详细信息
来源: 评论
CPSNet: Comprehensive Enhancement Representation for Polyp Segmentation Task
CPSNet: Comprehensive Enhancement Representation for Polyp S...
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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Cai, Jiati Liu, Xiaogang Yang, Hongjie Ding, Yi Zhong, Ting Qin, Zhen Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China Department of Gastroenterology and Hepatology University of Electronic Science and Technology of China Chengdu China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China
Accurately segmenting polyp regions in colonoscopy images is crucial for the diagnosis and intervention of colorectal cancer. However, the task of polyp segmentation remains challenging due to the diverse size and sha... 详细信息
来源: 评论
Dual-Triple Transformer Networks for Accurate CT Pleural Effusion Segmentation
Dual-Triple Transformer Networks for Accurate CT Pleural Eff...
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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Yang, Jianwei Fan, Wenkang Fang, Hao Zhu, Zirui Luo, Xiongbiao Department of Computer Science and Technology Xiamen University Xiamen361102 China National Institute for Data Science in Health and Medicine Xiamen University Xiamen361102 China Zhongshan Hospital Xiamen University Xiamen361004 China
Pleural effusion segmentation in computed tomography images is essential to its precise diagnosis and treatment but remains challenging due to blurred boundaries, heterogeneous morphology, and low contrast with adjace... 详细信息
来源: 评论
Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images
Prompting DirectSAM for Semantic Contour Extraction in Remot...
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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Miao, Shiyu Chen, Delong Liu, Fan Zhang, Chuanyi Gu, Yanhui Guo, Shengjie Zhou, Jun College of Computer Science and Software Engineering Hohai University Nanjing China Hong Kong University of Science and Technology Hong Kong School of Computer and Electronic Information Nanjing Normal University Nanjing China School of Information and Communication Technology Griffith University QLD Australia
The Direct Segment Anything Model (DirectSAM) excels in class-agnostic contour extraction. In this paper, we explore its use by applying it to optical remote sensing imagery, where semantic contour extraction-such as ... 详细信息
来源: 评论
Semantic-oriented Visual Prompt Learning for Class Incremental Learning
Semantic-oriented Visual Prompt Learning for Class Increment...
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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Guo, Shuai Gu, Yang Ma, Yuan Zhang, Yingwei Weng, Weining Liu, Jun Dai, Weiwei Chen, Yiqiang Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Institute of Digital Ophthalmology and Visual Science Changsha Aier Eye Hospital Changsha China Peng Cheng Laboratory Shenzhen China
Class-incremental learning (CIL) enables models to continuously learn new classes while addressing catastrophic forgetting. With the introduction of pre-trained models, new tuning paradigms have emerged for CIL. This ... 详细信息
来源: 评论
LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in vision-Language Models
LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Express...
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international conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Jingyi Wang Jianzhong Ju Jian Luan Zhidong Deng Department of Computer Science and Technology BNRist THUAI Tsinghua University Beijing China Xiaomi AI Lab Beijing China
Recent advances in large vision-language models (LVLMs) typically employ vision encoders based on the vision Transformer (ViT) architecture. The division of the images into patches by ViT results in a fragmented perce... 详细信息
来源: 评论
HaT: Holding Oscillation for Efficient INT8 Quantized CNN Training
HaT: Holding Oscillation for Efficient INT8 Quantized CNN Tr...
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2025 international conference on Electronics, Information, and Communication, ICEIC 2025
作者: Kim, Chanyung Shin, Dongyeob Lee, Minkyu Jang, Sung-Joon Lee, Sang-Seol Intelligent Image Processing Research Center Korea Electronics Technology Institute Gyeonggi-do Korea Republic of
Reducing model capacity through low-bit quantization while maintaining performance is a challenging task in deep learning. Quantization during training is particularly difficult compared to quantization in inference m... 详细信息
来源: 评论