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Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：385/83  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：332/76  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：432/121  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：260/7  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12
作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui;  Wang, Fangshi;  Hu, Weiming
Adobe PDF(2455Kb)  |  收藏  |  浏览/下载：290/6  |  提交时间：2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6348Kb)  |  收藏  |  浏览/下载：419/105  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
作者:  Wang, Kexin;  Zhou, Yu;  Zhang, Jiajun;  Wang, Shaonan;  Zong, Chengqing
浏览  |  Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：334/103  |  提交时间：2020/06/10
Text representation  graph convolutional networks  loss function  
RefineDet++: Single-Shot Refinement Neural Network for Object Detection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 期号: 0, 页码: 0
作者:  Zhang, Shifeng;  Wen, Longyin;  Lei, Zhen;  Li, Stan Z.
浏览  |  Adobe PDF(4899Kb)  |  收藏  |  浏览/下载：160/0  |  提交时间：2020/06/08
Object detection, one-stage, refinement network  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：447/97  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM 期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2020, 卷号: 69, 期号: 1, 页码: 139-153
作者:  Yu, Xiao;  Liu, Jin;  Keung, Jacky Wai;  Li, Qing;  Bennin, Kwabena Ebo;  Xu, Zhou;  Wang, Junping;  Cui, Xiaohui
Adobe PDF(2373Kb)  |  收藏  |  浏览/下载：434/75  |  提交时间：2020/06/02
Support vector machines  Software  Prediction algorithms  Predictive models  Testing  Software algorithms  Computer science  Cost-sensitive learning  data imbalance  ranking-oriented defect prediction (RODP)