Results 21 to 30 of about 1,005,453 (288)

Robust Learning with Frequency Domain Regularization

CoRR, 2020
Convolution neural networks have achieved remarkable performance in many tasks of computing vision. However, CNN tends to bias to low frequency components. They prioritize capturing low frequency patterns which lead them fail when suffering from application scenario transformation.
Weiyu Guo, Yidong Ouyang
openaire   +2 more sources

MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images

GIScience & Remote Sensing, 2022
Building extraction is significant in urban planning, economic evaluation, and driverless technology development. However, automatic building extraction from high spatial resolution remote sensing images has been a challenging task due to the various ...
Bo Yu, Fang Chen, Ning Wang, Lu Yang, Haiping Yang, Lei Wang   +5 more
doaj   +1 more source

Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis

Sensors, 2021
In recent years, transfer learning has been widely applied in fault diagnosis for solving the problem of inconsistent distribution of the original training dataset and the online-collecting testing dataset. In particular, the domain adaptation method can
Xudong Li, Jianhua Zheng, Mingtao Li, Wenzhen Ma, Yang Hu   +4 more
doaj   +1 more source

FreDF: Learning to Forecast in the Frequency Domain

CoRR
Accepted by ICLR ...
Hao Wang 0049, Licheng Pan, Zhichao Chen 0001, Degui Yang, Sen Zhang 0006, Yifei Yang, Xinggao Liu, Haoxuan Li 0001, Dacheng Tao   +8 more
  +6 more sources

Learning multi-axis representation in frequency domain for medical image segmentation [PDF]

Machine-mediated learning, 2023
Recently, Visual Transformer (ViT) has been extensively used in medical image segmentation (MIS) due to applying self-attention mechanism in the spatial domain to modeling global knowledge.
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang   +3 more
semanticscholar   +1 more source

Learning Frequency Domain Approximation for Binary Neural Networks

CoRR, 2021
12 ...
Yixing Xu, Kai Han 0002, Chang Xu 0002, Yehui Tang 0001, Chunjing Xu, Yunhe Wang 0001   +5 more
openaire   +3 more sources

Infrared Small Target Detection Method Based on Frequency Domain Clutter Suppression and Spatial Feature Extraction

IEEE Access, 2023
With the continuous development of infrared technology, the application of infrared imagery is increasingly widespread. Nonetheless, infrared imagery suffers from low contrast and high noise characteristics, making it challenging to detect and recognize ...
Chengpeng Duan, Bingliang Hu, Wei Liu, Tianlei Ma, Qi Ma, Hao Wang   +5 more
doaj   +1 more source

Joint Learning of Frequency and Spatial Domains for Dense Predictions

CoRR, 2022
Current artificial neural networks mainly conduct the learning process in the spatial domain but neglect the frequency domain learning. However, the learning course performed in the frequency domain can be more efficient than that in the spatial domain.
Shaocheng Jia, Wei Yao 0008
openaire   +2 more sources

Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods

Trends in Hearing, 2023
Frequency-domain monaural speech enhancement has been extensively studied for over 60 years, and a great number of methods have been proposed and applied to many devices.
C. Zheng, Huiyong Zhang, Wenzhe Liu, Xiaoxue Luo, Andong Li, Xiaodong Li, Brian C. J. Moore   +6 more
semanticscholar   +1 more source

Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion [PDF]

Jisuanji kexue, 2023
Automatic modulation recognition (AMR) is a key technology in cognitive radio and has a wide range of applications in wireless communication.Aiming at the problem that most of the existing automatic modulation classification methods only use the single ...
HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie
doaj   +1 more source