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一种新的分段式细粒度正则化的鲁棒跟踪算法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 5, 页码: 1116-1130
作者:  安志勇;  梁顺楷;  李博;  赵峰;  窦全胜;  相忠良
Adobe PDF(3955Kb)  |  收藏  |  浏览/下载：5/3  |  提交时间：2024/05/09
视觉跟踪  孪生网络  细粒度正则化  组套索  
基于元学习的双目深度估计在线适应算法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 7, 页码: 1446-1455
作者:  张振宇;  杨健
Adobe PDF(5210Kb)  |  收藏  |  浏览/下载：15/6  |  提交时间：2024/04/25
深度估计  在线学习  元学习  域适应算法  深度神经网络  
Shallow Feature-driven Dual-edges Localization Network for Weakly Supervised Localization 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 923-936
作者:  Wenjun Hui;  Guanghua Gu;  Bo Wang
Adobe PDF(3485Kb)  |  收藏  |  浏览/下载：6/4  |  提交时间：2024/04/23
Weakly supervised object localization, edge feature mining, edge of shallow feature map, edge of shallow gradients, similarity measurement  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：11/5  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：14/3  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：6/0  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 249-262
作者:  Guyue Hu;  Bin He;  Hanwang Zhang
Adobe PDF(2167Kb)  |  收藏  |  浏览/下载：14/7  |  提交时间：2024/04/23
Prompt learning  video-language pretrained models  instructional videos  procedure understanding  knowledge distilling  
Pruning-aware Sparse Regularization for Network Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 109-120
作者:  Nan-Fei Jiang
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/23
Deep learning  convolutional neural network (CNN)  model compression and acceleration  network pruning  regularization  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：21/7  |  提交时间：2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation