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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：3/1  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3552-3566
作者:  Shivakumara, Palaiahnakote;  Banerjee, Ayan;  Pal, Umapada;  Nandanwar, Lokesh;  Lu, Tong;  Liu, Cheng-Lin
收藏  |  浏览/下载：31/0  |  提交时间：2023/11/17
Text detection  style transfer  deep learning  EfficientNet  social media images  
Pose-Appearance Relational Modeling for Video Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 295-308
作者:  Cui, Mengmeng;  Wang, Wei;  Zhang, Kunbo;  Sun, Zhenan;  Wang, Liang
收藏  |  浏览/下载：238/0  |  提交时间：2023/02/22
Action recognition  2D pose-appearance  relational modeling  temporal attention LSTM  
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：138/0  |  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  
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：220/26  |  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  
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：180/42  |  提交时间：2022/06/14
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：365/77  |  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  
Geometry Sensitive Cross-Modal Reasoning for Composed Query Based Image Retrieval 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 1000-1011
作者:  Zhang, Feifei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：243/0  |  提交时间：2022/02/16
Visualization  Image retrieval  Semantics  Cognition  Geometry  Task analysis  Electronic mail  Composed query based image retrieval  semantic gap  spatial structure  inter-modal attention  text-guided visual reasoning  
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：290/38  |  提交时间：2021/11/03
Urban reconstruction  building modeling  Markov random field  segment based modeling  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：264/14  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network