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General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 6155-6167
作者:  Bao, Zenghao;  Tan, Zichang;  Li, Jun;  Wan, Jun;  Ma, Xibo;  Lei, Zhen
收藏  |  浏览/下载：21/0  |  提交时间：2024/02/22
General age estimation  long-tailed age estimation  class-wise mean absolute error  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：43/0  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：43/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：60/0  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Socially Governed Energy Hub Trading Enabled by Blockchain-Based Transactions 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 16
作者:  Zhao, Pengfei;  Li, Shuangqi;  Cao, Zhidong;  Hu, Paul Jen-Hwa;  Gu, Chenghong;  Yan, Xiaohe;  Huo, Da;  Luo, Tianyi;  Wang, Zikang
收藏  |  浏览/下载：131/0  |  提交时间：2023/11/16
Blockchain  energy hubs  energy management  integrated energy systems (IESs)  peer-to-peer (P2P) trading  social governance  
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
作者:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming;  Xu, Changsheng
Adobe PDF(1644Kb)  |  收藏  |  浏览/下载：111/15  |  提交时间：2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：143/1  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi
收藏  |  浏览/下载：237/0  |  提交时间：2023/03/20
Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning  
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：279/66  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：220/26  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning