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Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：201/0  |  提交时间：2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
A c-MET-Targeted Topical Fluorescent Probe cMBP-ICG Improves Oral Squamous Cell Carcinoma Detection in Humans 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2022, 页码: 11
作者:  Wang, Jingbo;  Li, Siyi;  Wang, Kun;  Zhu, Ling;  Yang, Lin;  Zhu, Yunjing;  Zhang, Zhen;  Hu, Longwei;  Yuan, Yuan;  Fan, Qi;  Ren, Jiliang;  Yang, Gongxin;  Ding, Weilong;  Zhou, Xiaoyu;  Cui, Junqi;  Zhang, Chunye;  Yuan, Ying;  Huang, Ruimin;  Tian, Jie;  Tao, Xiaofeng
收藏  |  浏览/下载：156/0  |  提交时间：2022/11/14
Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Ding, Kun;  He, Guojin;  Gu, Huxiang;  Zhong, Zisha;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：224/0  |  提交时间：2022/02/16
Convolution  Head  Training  Testing  Object detection  Feature extraction  Real-time systems  Aerial images  object detection  sparse convolution  spatial sparsity