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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:36/0  |  提交时间:2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism  
Focal and efficient IOU loss for accurate bounding box regression 期刊论文
NEUROCOMPUTING, 2022, 卷号: 506, 页码: 146-157
作者:  Zhang, Yi-Fan;  Ren, Weiqiang;  Zhang, Zhang;  Jia, Zhen;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:85/0  |  提交时间:2023/03/20
Object detection  Loss function design  Hard sample mining  
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-21
作者:  Xie, Zexiao;  Yu, Xiaoxuan;  Gao, Xiang;  Li, Kunqian;  Shen, Shuhan
收藏  |  浏览/下载:187/0  |  提交时间:2022/11/14
Data fusion  Deep learning  Depth completion  Loss function  RGB-D and LiDAR data  
A speed measurement method for underwater robots using an artificial lateral line sensor 期刊论文
Smart Materials and Structures, 2021, 卷号: 31, 期号: 1, 页码: 015011
作者:  Zhang,Zhuoliang;  Zhou,Chao;  Cao,Zhiqiang;  Tan,Min;  Cheng,Long;  Deng,Sai;  Fan,Junfeng
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载:290/34  |  提交时间:2021/12/28
artificial lateral line  speed of underwater robot  hybrid loss function  calibration in noisy environment  flow sensor  
Improving speech enhancement by focusing on smaller values using relative loss 期刊论文
IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384
作者:  Li, Hongfeng;  Xu, Yanyan;  Ke, Dengfeng;  Su, Kaile
收藏  |  浏览/下载:164/0  |  提交时间:2020/09/07
speech enhancement  speech intelligibility  performance evaluation  learning (artificial intelligence)  neural nets  absolute differences  speech quality  relative loss  single-channel speech enhancement  noisy speech  ideal ratio mask  phase-sensitive mask  mean square error  loss function  absolute error values  magnitude spectra  deep learning  clean speech recovery  short-time objective intelligibility  signal-to-distortion ratio  segmental signal-to-noise ratio  performance evaluation  
Relative coordinates constraint for face alignment 期刊论文
NEUROCOMPUTING, 2020, 卷号: 395, 页码: 119-127
作者:  Nian, Fudong;  Li, Teng;  Bao, Bing-Kun;  Xu, Changsheng
收藏  |  浏览/下载:243/0  |  提交时间:2020/06/22
Face alignment  Relative coordinates constraint  CNN  Loss function design  
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
作者:  Wang, Kexin;  Zhou, Yu;  Zhang, Jiajun;  Wang, Shaonan;  Zong, Chengqing
浏览  |  Adobe PDF(1553Kb)  |  收藏  |  浏览/下载:283/89  |  提交时间:2020/06/10
Text representation  graph convolutional networks  loss function  
CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2020, 页码: 18
作者:  Li, Yunan;  Wan, Jun;  Miao, Qiguang;  Escalera, Sergio;  Fang, Huijuan;  Chen, Huizhou;  Qi, Xiangda;  Guo, Guodong
收藏  |  浏览/下载:248/0  |  提交时间:2020/06/02
Personality traits  Multimodal data  Convolutional neural networks  Classification-regression network  Bell Loss function  
Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information 期刊论文
Science China Information Sciences, 2019, 卷号: 62, 期号: 11, 页码: 212101:1–212101:9
作者:  Xinyu Zuo;  Yubo Chen;  Kang Liu;  Jun Zhao
Adobe PDF(360Kb)  |  收藏  |  浏览/下载:155/51  |  提交时间:2021/06/18
Event co-reference resolution  Neural network  Information extraction  Multi-loss function  Event extraction  
Robust C-Loss Kernel Classifiers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 510-522
作者:  Xu, Guibiao;  Hu, Bao-Gang;  Principe, Jose C.
浏览  |  Adobe PDF(3169Kb)  |  收藏  |  浏览/下载:383/155  |  提交时间:2018/01/05
Correntropy  Half-quadratic (Hq) Optimization  Kernel Classifier  Loss Function