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Domain adaptive object detection with model-agnostic knowledge transferring 期刊论文
Neural Networks, 2023, 页码: 213-227
作者:  Tian Kun;  Zhang Chenghao;  Wang Ying;  Xiang Shiming
Adobe PDF(3116Kb)  |  收藏  |  浏览/下载：7/5  |  提交时间：2024/05/28
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：67/19  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Multi-level consistency regularization for domain adaptive object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 18003–18018
作者:  Tian, Kun;  Zhang, Chenghao;  Wang, Ying;  Xiang, Shiming
Adobe PDF(2628Kb)  |  收藏  |  浏览/下载：45/0  |  提交时间：2023/11/17
Consistency regularization  Object detection  Domain adaptation  
A Spraying Path Planning Algorithm Based on Point Cloud Segmentation and Trajectory Sequence Optimization 期刊论文
International Journal of Control, Automation, and Systems, 2023, 页码: 16
作者:  Ruxiang Hua;  Hongxuan Ma;  Wei Zou;  Wei Zhang;  Zhuo Wang
Adobe PDF(24596Kb)  |  收藏  |  浏览/下载：196/49  |  提交时间：2023/07/03
Spraying robot  trajectory sequence optimization  optimal spraying trajectory  surface segmentation  point cloud  
DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395
作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan
Adobe PDF(47919Kb)  |  收藏  |  浏览/下载：144/19  |  提交时间：2023/06/16
change detection  transformer  dual cross-attention  remote sensing  
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:  Song, Yaguang;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(1381Kb)  |  收藏  |  浏览/下载：191/61  |  提交时间：2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised learning