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Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 89, 页码: 15
作者:  Pan, Yuchen;  Shang, Yuanyuan;  Wang, Wei;  Shao, Zhuhong;  Han, Zhuojin;  Liu, Tie;  Guo, Guodong;  Ding, Hui
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Adversarial learning  Audio processing  Attention mechanism  Deep neural network  Depression recognition  Feature enhancement  
Data-efficient 3D instance segmentation by transferring knowledge from synthetic scans 期刊论文
PATTERN RECOGNITION LETTERS, 2024, 卷号: 179, 页码: 151-157
作者:  Wu, Xiaodong;  Wang, Ruiping;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Point cloud segmentation  Synthetic data  Domain adaptation  
Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen;  An, Zhulin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs  
Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations 期刊论文
TRANSLATIONAL PSYCHIATRY, 2024, 卷号: 14, 期号: 1, 页码: 8
作者:  Song, Yuxiang;  Zhang, Di;  Wang, Qian;  Liu, Yuqing;  Chen, Kunsha;  Sun, Jingjia;  Shi, Likai;  Li, Baowei;  Yang, Xiaodong;  Mi, Weidong;  Cao, Jiangbei
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 1, 页码: 366-379
作者:  Han, Husheng;  Hu, Xing;  Hao, Yifan;  Xu, Kaidi;  Dang, Pucheng;  Wang, Ying;  Zhao, Yongwei;  Du, Zidong;  Guo, Qi;  Wang, Yanzhi;  Zhang, Xishan;  Chen, Tianshi
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Object detection  Streaming media  Optical flow  Feature extraction  Real-time systems  Task analysis  Detectors  Adversarial patch attack  deep learning security  domain-specific accelerator  hardware/software co-design  real time  
Consensus-Agent Deep Reinforcement Learning for Face Aging 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1795-1809
作者:  Lin, Ling;  Liu, Hao;  Liang, Jinqiao;  Li, Zhendong;  Feng, Jiao;  Han, Hu
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Face aging  deep reinforcement learning  Markov decision process  
A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition 期刊论文
NUTRIENTS, 2024, 卷号: 16, 期号: 2, 页码: 16
作者:  Sheng, Guorui;  Min, Weiqing;  Zhu, Xiangyi;  Xu, Liang;  Sun, Qingshuo;  Yang, Yancun;  Wang, Lili;  Jiang, Shuqiang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
food recognition  lightweight  global feature  ViT  nutrition management  
Synthesizing Knowledge-Enhanced Features for Real-World Zero-Shot Food Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1285-1298
作者:  Zhou, Pengfei;  Min, Weiqing;  Song, Jiajun;  Zhang, Yang;  Jiang, Shuqiang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Semantics  Feature extraction  Visualization  Annotations  Correlation  Training  Task analysis  Food detection  zero-shot detection  food computing  object detection  zero-shot learning  
Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1588-1599
作者:  He, Mingjie;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Face recognition  Task analysis  Three-dimensional displays  Training  Supervised learning  Self-supervised learning  Image reconstruction  bypass enhanced representation learning  3D reconstruction bypass  blind inpainting bypass  
Multi-scale conditional reconstruction generative adversarial network 期刊论文
IMAGE AND VISION COMPUTING, 2024, 卷号: 141, 页码: 9
作者:  Chen, Yanming;  Xu, Jiahao;  An, Zhulin;  Zhuang, Fuzhen
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Generative adversarial network  Unsupervised generation  Multi-scale instance  Reconstructed losses