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CASIA OpenIR
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Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：39/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
Hierarchical Curriculum Learning for No-Reference Image Quality Assessment 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 20
作者:  Wang, Juan;  Chen, Zewen;  Yuan, Chunfeng;  Li, Bing;  Ma, Wentao;  Hu, Weiming
收藏  |  浏览/下载：95/0  |  提交时间：2023/11/17
No-reference image quality assessment  Hierarchical curriculum learning  Prior knowledge  Cross-dataset quality assessment correlation  
Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12377-12393
作者:  Wang, Juan;  Yuan, Chunfeng;  Li, Bing;  Deng, Ying;  Hu, Weiming;  Maybank, Stephen
收藏  |  浏览/下载：115/0  |  提交时间：2023/11/16
Blind image inpainting  semantic-discontinuity detection  layout map prediction  pixel generative adversarial network  
A Closer Look at Self-Supervised Lightweight Vision Transformers 会议论文
, Honolulu, Hawaii, USA, 2023-7
作者:  Wang, Shaoru;  Gao, Jin;  Li, Zeming;  Zhang, Xiaoqin;  Weiming, Hu
Adobe PDF(3478Kb)  |  收藏  |  浏览/下载：208/66  |  提交时间：2023/09/20
Vision Transformer  Self-supervised Learning  Lightweight Networks  Knowledge Distillation  
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation 会议论文
, New York, 2020-2
作者:  Wang, Shaoru;  Gong, Yongchao;  Xing, Junliang;  Huang, Lichao;  Huang, Chang;  Hu, Weiming
Adobe PDF(1860Kb)  |  收藏  |  浏览/下载：86/21  |  提交时间：2023/09/20
目标检测  实例分割  
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:  Liu, Shuaiqi;  Wang, Xu;  Zhao, Ling;  Li, Bing;  Hu, Weiming;  Yu, Jie;  Zhang, Yu-Dong
收藏  |  浏览/下载：205/0  |  提交时间：2023/03/20
Electroencephalography  Feature extraction  Emotion recognition  Convolution  Brain modeling  Deep learning  Neural networks  3D convolution attention neural network  dual attention learning  EEG emotion recognition  spatio-temporal feature  
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：216/26  |  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  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：251/35  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Object Relational Graph with Teacher-Recommended Learning for Video Captioning 会议论文
2020, 线上, 2020.6.14-19
作者:  Zhang,Ziqi;  Shi,Yaya;  Yuan,Chunfeng;  Li,Bing;  Wang,Peijin;  Hu,Weiming;  Zha,Zhengjun
Adobe PDF(1547Kb)  |  收藏  |  浏览/下载：189/68  |  提交时间：2022/06/16
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8439-8453
作者:  Bai, Weiming;  Zhang, Zhipeng;  Li, Bing;  Wang, Pei;  Li, Yangxi;  Zhang, Congxuan;  Hu, Weiming
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：181/55  |  提交时间：2022/06/14