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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：26/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
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：80/0  |  提交时间：2023/11/16
Blind image inpainting  semantic-discontinuity detection  layout map prediction  pixel generative adversarial network  
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：68/0  |  提交时间：2023/11/17
No-reference image quality assessment  Hierarchical curriculum learning  Prior knowledge  Cross-dataset quality assessment correlation  
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：173/60  |  提交时间：2023/09/20
Vision Transformer  Self-supervised Learning  Lightweight Networks  Knowledge Distillation  
Learning from the raw domain: cross modality distillation for compressed video action recognition 会议论文
, Rhodes, Greece, 2023.6
作者:  Yufan Liu;  Jiajiong Cao;  Weiming Bai;  Bing Li;  Weiming Hu
Adobe PDF(411Kb)  |  收藏  |  浏览/下载：259/91  |  提交时间：2023/05/06
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文
PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52
作者:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming
收藏  |  浏览/下载：146/0  |  提交时间：2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention  
TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 页码: 1-12
作者:  Haowei Liu;  Yongcheng Liu;  Yuxin Chen;  Chunfeng Yuan;  Bing Li;  Weiming Hu
Adobe PDF(1276Kb)  |  收藏  |  浏览/下载：194/72  |  提交时间：2023/04/28
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：128/41  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
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：159/0  |  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  
Cascaded Decoding and Multi-Stage Inference for Spatio-Temporal Video Grounding 会议论文
, Lisbon, Portugal, 2022-10
作者:  Li Yang;  Peixuan Wu;  Chunfeng Yuan;  Bing Li;  Weiming Hu
Adobe PDF(1313Kb)  |  收藏  |  浏览/下载：128/37  |  提交时间：2023/07/06