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Grammar-Induced Wavelet Network for Human Parsing 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 期号: 31, 页码: 4502-4514
作者:  Xiaomei Zhang;  Yingying Chen;  Ming Tang;  Zhen Lei;  Jinqiao Wang
Adobe PDF(3308Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/06/03
Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 期号: 0, 页码: 1045 - 1058
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Ruisheng Wang;  Xiaopeng Zhang
Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：22/8  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6635-6648
作者:  Wu, Yiqiang;  Tao, Dapeng;  Zhan, Yibing;  Zhang, Chenyang
收藏  |  浏览/下载：234/0  |  提交时间：2022/11/21
Training  Image restoration  Image color analysis  Band-pass filters  Convolutional neural networks  Atmospheric modeling  Noise measurement  Image dehazing  bidirectional normalizing flow  weakly-paired training  and  restoration diversity  
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：235/29  |  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  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：384/38  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Image Inpainting With Local and Global Refinement 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2405-2420
作者:  Quan, Weize;  Zhang, Ruisong;  Zhang, Yong;  Li, Zhifeng;  Wang, Jue;  Yan, Dong-Ming
收藏  |  浏览/下载：314/0  |  提交时间：2022/06/06
Image reconstruction  Generators  Convolution  Semantics  Image edge detection  Deep learning  Task analysis  Image inpainting  neural networks  receptive field  
RVFace: Reliable Vector Guided Softmax Loss for Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351
作者:  Wang, Xiaobo;  Wang, Shuo;  Liang, Yanyan;  Gu, Liang;  Lei, Zhen
收藏  |  浏览/下载：278/0  |  提交时间：2022/06/06
Deep face recognition  noisy labels detection  margin-based softmax loss  mining-based softmax loss  discriminative feature learning  
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：221/0  |  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  
Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7458-7471
作者:  Han, Jiali;  Zhu, Lingjie;  Gao, Xiang;  Hu, Zhanyi;  Zhou, Liyang;  Liu, Hongmin;  Shen, Shuhan
Adobe PDF(8168Kb)  |  收藏  |  浏览/下载：302/38  |  提交时间：2021/11/03
Urban reconstruction  building modeling  Markov random field  segment based modeling  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载：275/61  |  提交时间：2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training