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Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism 期刊论文
NEURAL NETWORKS, 2024, 卷号: 170, 页码: 276-284
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：52/0  |  提交时间：2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism  
Novel methods for locating and matching IC cells based on standard cell libraries 期刊论文
MICROELECTRONIC ENGINEERING, 2024, 卷号: 283, 页码: 12
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/22
Reverse engineering  Integrated circuits  Scanning electron microscopy  Image processing  Hardware security