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Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 49601-49610
作者:  Song, Ying;  Li, Mengxing;  Wang, Bo
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Convolutional neural networks  Continuous wavelet transforms  Data models  Training  Computer vision  Transformers  Transfer learning  Long-tailed recognition  self-attention  vision transformer  CNN  TrivialAugment  
RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 83940-83948
作者:  Liao, Lianjun;  Zhang, Zihao;  Xia, Shihong
收藏  |  浏览/下载:22/0  |  提交时间:2022/12/07
Image restoration  Cameras  Convolutional neural networks  Task analysis  Adaptation models  Image edge detection  Trajectory  Attention mechanism  graph neural network  graph reasoning network  image deblur  image processing  
Feature Rescaling and Fusion for Tiny Object Detection 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 62946-62955
作者:  Liu, Jingwei;  Gu, Yi;  Han, Shumin;  Zhang, Zhibin;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:29/0  |  提交时间:2021/12/01
Feature extraction  Object detection  Semantics  Task analysis  Training  Spatial resolution  Shape  Tiny object detection  nonparametric adaptive selection  feature fusion  feature pyramid network  ensemble model  
Att-FPA: Boosting Feature Perceive for Object Detection 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 47380-47390
作者:  Liu, Jingwei;  Gu, Yi;  Han, Shumin;  Zhang, Zhibin;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:28/0  |  提交时间:2021/12/01
Feature extraction  Location awareness  Task analysis  Object detection  Proposals  Neck  Semantics  Deep learning  computer vision  object detection  attention  feature representation  
Exploiting Lightweight Statistical Learning for Event-Based Vision Processing 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 19396-19406
作者:  Shi, Cong;  Li, Jiajun;  Wang, Ying;  Luo, Gang
收藏  |  浏览/下载:52/0  |  提交时间:2019/12/10
Address-event representation (AER)  dynamic vision sensor (DVS)  random ferns  statistical learning  neuromorphic processing