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Coarse Mask Guided Interactive Object Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5808-5822
作者:  Li, Jing;  Fan, Junsong;  Wang, Yuxi;  Yang, Yuran;  Zhang, Zhaoxiang
收藏  |  浏览/下载：25/0  |  提交时间：2024/02/22
Segmentation  interactive  transformer  annotation tool  
SPA2Net: Structure-Preserved Attention Activated Network for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5779-5793
作者:  Chen, Dong;  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Xu, Changsheng
收藏  |  浏览/下载：29/0  |  提交时间：2024/02/22
High-order self-correlation  class activation map  structure preservation  weakly supervised object localization  
Improving Inconspicuous Attributes Modeling for Person Search by Language 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3429-3441
作者:  Niu, Kai;  Huang, Tao;  Huang, Linjiang;  Wang, Liang;  Zhang, Yanning
收藏  |  浏览/下载：80/0  |  提交时间：2023/11/17
Person search by language  cross-modal retrieval  smart video surveillance  
GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal Processing 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7449-7464
作者:  Zhao, Mingyang;  Ma, Lei;  Jia, Xiaohong;  Yan, Dong-Ming;  Huang, Tiejun
收藏  |  浏览/下载：89/0  |  提交时间：2023/02/22
Point cloud registration  graph signal processing  rigid dynamics  robust statistics  simulated annealing  
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6816-6830
作者:  Qi, Qi;  Li, Kunqian;  Zheng, Haiyong;  Gao, Xiang;  Hou, Guojia;  Sun, Kun
收藏  |  浏览/下载：137/0  |  提交时间：2022/11/28
Semantics  Image enhancement  Task analysis  Feature extraction  Training  Degradation  Visualization  Underwater image enhancement  deep learning  semantic guidance  attention mechanism  SUIM-E dataset  
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：338/35  |  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  
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
收藏  |  浏览/下载：246/0  |  提交时间：2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch  
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 0, 页码: 6013
作者:  Gao, Naiyu;  Shan, Yanhu;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：178/41  |  提交时间：2022/06/14
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3137-3150
作者:  Wang, Mei;  Deng, Weihong;  Liu, Cheng-Lin
收藏  |  浏览/下载：225/0  |  提交时间：2022/06/10
Character recognition  Bones  Adaptation models  Training  Feature extraction  Writing  Transforms  Oracle character recognition  unsupervised domain adaptation  feature disentanglement  generative adversarial network  
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：363/77  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention