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Progressive Feature Learning for Facade Parsing With Occlusions 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2081-2093
作者:  Ma, Wenguang;  Xu, Shibiao;  Ma, Wei;  Zhang, Xiaopeng;  Zha, Hongbin
收藏  |  浏览/下载：209/0  |  提交时间：2022/06/06
Uncertainty  Bayes methods  Convolutional neural networks  Buildings  Training  Context modeling  Representation learning  Facade parsing  occlusion  feature representation  manmade structure  
DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7765-7778
作者:  Chen, Xianyu;  Wang, Yali;  Liu, Jianzhuang;  Qiao, Yu
收藏  |  浏览/下载：154/0  |  提交时间：2020/08/21
Object detection  low-shot learning  continuous learning  deep learning  transfer learning  
Progressive Object Transfer Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 986-1000
作者:  Chen, Hao;  Wang, Yali;  Wang, Guoyou;  Bai, Xiang;  Qiao, Yu
收藏  |  浏览/下载：257/0  |  提交时间：2020/03/30
Detectors  Object detection  Proposals  Task analysis  Benchmark testing  Deep learning  Labeling  Object detection  deep learning  transfer learning  weakly  semi-supervised detection  low-shot learning  
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：331/66  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(8221Kb)  |  收藏  |  浏览/下载：302/68  |  提交时间：2020/08/03
Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency