机构

• 自动化研究所 [10]
• 计算技术研究所 [5]
• 西安光学精密机械研究... [3]
• 沈阳自动化研究所 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [20]

内容类型

• 期刊论文 [19]
• 会议论文 [1]

发表日期

• 2024 [6]
• 2023 [5]
• 2022 [4]
• 2021 [1]
• 2020 [3]
• 2012 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共20条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors 期刊论文  OAI收割 SENSORS, 2024, 卷号: 24, 期号: 19, 页码: 21 作者:  Tang, Shuyuan;  Zhou, Yiqing;  Li, Jintao;  Liu, Chang;  Shi, Jinglin   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 pedestrian detection  computer vision  attention-guided feature enhancement  convolutional neural network   Row-Column Separated Attention Based Low-Light Image/Video Enhancement 期刊论文  OAI收割 COMPUTER GRAPHICS FORUM, 2024, 页码: 15 作者:  Dong, Chengqi;  Cao, Zhiyuan;  Qi, Tuoshi;  Wu, Kexin;  Gao, Yixing   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Low-light image/video enhancement  Row-column separated attention  Temporal consistency   Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech 期刊论文  OAI收割 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 89, 页码: 15 作者:  Pan, Yuchen;  Shang, Yuanyuan;  Wang, Wei;  Shao, Zhuhong;  Han, Zhuojin   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/05/20 Adversarial learning  Audio processing  Attention mechanism  Deep neural network  Depression recognition  Feature enhancement   Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13 作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/05/20 Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs   Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 10 作者:  Zhao, Yuhao;  Liu, Qing;  Su, Hu;  Zhang, Jiabin;  Ma, Hongxuan   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03 Attention mechanism  feature enhancement  feature fusion  object detection  surface defect detection   Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 11, 页码: 2253-2269 作者:  Kui Jiang;  Ruoxi Wang;  Yi Xiao;  Junjun Jiang;  Xin Xu   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/10/09 Association learning  attention mechanism  image enhancement  perturbation modeling   Dual feature enhanced video super-resolution network based on low-light scenarios 期刊论文  OAI收割 SIGNAL PROCESSING-IMAGE COMMUNICATION, 2023, 卷号: 115, 页码: 8 作者:  Zhang, Huan;  Cao, Yihao;  Cai, Jianghui;  Cai, Xingjuan;  Zhang, Wensheng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Video super-resolution (VSR)  Feature enhancement  Information re-fusion  Attention mechanism   Low-Light Image Enhancement by Combining Transformer and Convolutional Neural Network 期刊论文  OAI收割 MATHEMATICS, 2023, 卷号: 11, 期号: 7 作者:  Yuan, Nianzeng;  Zhao, Xingyun;  Sun, Bangyong;  Han, Wenjia;  Tan, Jiahai   |  收藏  |  浏览/下载：40/0  |  提交时间：2023/05/06 image processing  deep learning  low-light image enhancement  self-attention mechanism   Spectral-Spatial Attention Rotation-Invariant Classification Network for Airborne Hyperspectral Images 期刊论文  OAI收割 DRONES, 2023, 卷号: 7, 期号: 4 作者:  Shi, Yuetian;  Fu, Bin;  Wang, Nan;  Cheng, Yinzhu;  Fang, Jie   |  收藏  |  浏览/下载：42/0  |  提交时间：2023/05/29 airborne hyperspectral image  hyperspectral image classification  rotation-invariant  local spatial feature enhancement  convolutional neural network  attention mechanism  lightweight feature enhancement   Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文  OAI收割 PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52 作者:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/03/20 Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention