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General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 6155-6167
作者:  Bao, Zenghao;  Tan, Zichang;  Li, Jun;  Wan, Jun;  Ma, Xibo;  Lei, Zhen
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
General age estimation  long-tailed age estimation  class-wise mean absolute error  
Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3622-3633
作者:  Liu, Chong;  Zhang, Yuqi;  Wang, Hongsong;  Chen, Weihua;  Wang, Fan;  Huang, Yan;  Shen, Yi-Dong;  Wang, Liang
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/17
Index Terms-Image-text retrieval  multimodal transformer  multimodal contrastive training  
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  
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：214/26  |  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  
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：325/35  |  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  
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：177/40  |  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：220/0  |  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：361/77  |  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  
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：301/0  |  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：263/0  |  提交时间：2022/06/06
Deep face recognition  noisy labels detection  margin-based softmax loss  mining-based softmax loss  discriminative feature learning