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Multi-Objective Bayesian Optimization using Deep Gaussian Processes with Applications to Copper Smelting Optimization 会议论文
, 新加坡, 2022-12
作者:  Kang, Liwen;  Wang, Xuelei;  Wu, Zhiheng;  Wang, Ruihua
Adobe PDF(607Kb)  |  收藏  |  浏览/下载：133/36  |  提交时间：2023/06/29
MLCFNet: Multi-Level Context Fusion Network for 3D Object Tracking 会议论文
, 线上, 2022-5-1
作者:  Zhang,Yongchang;  He,Wenhao
Adobe PDF(648Kb)  |  收藏  |  浏览/下载：151/40  |  提交时间：2023/05/29
CellNet: A Lightweight Model towards Accurate LOC-Based High-Speed Cell Detection 期刊论文
ELECTRONICS, 2022, 卷号: 11, 期号: 9, 页码: 20
作者:  Long, Xianlei;  Ishii, Idaku;  Gu, Qingyi
Adobe PDF(1681Kb)  |  收藏  |  浏览/下载：404/172  |  提交时间：2022/07/25
cell detection  high-speed vision  convolutional neural network (CNN)  efficient convolutional block  medical image analysis  
DLA: Dynamic Label Assignment for Accurate One-stage Object Detection 会议论文
, Malaysia, 2022-2
作者:  He, Jiang;  Junrui, Xiao;  Qingyi, Gu
Adobe PDF(722Kb)  |  收藏  |  浏览/下载：303/63  |  提交时间：2022/06/14
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：341/123  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Practical Robotic Auditory Perception and Approaching Methods Based on Small-sized Microphone Array 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 1-16
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Chi;  Kang, Zhaobing;  Zhu, Jiagang
Adobe PDF(9439Kb)  |  收藏  |  浏览/下载：259/31  |  提交时间：2022/06/10
Aural feature extraction  robotic audition  sound source localization  source approaching control  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：269/15  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning