Results 1 to 10 of about 10,742,237 (292)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain [PDF]

Plants, 2022
Few-shot learning (FSL) is suitable for plant-disease recognition due to the shortage of data. However, the limitations of feature representation and the demanding generalization requirements are still pressing issues that need to be addressed.
Hong Lin, Rita Tse, Su-Kit Tang, Zhenping Qiang, Giovanni Pau   +4 more
doaj   +6 more sources

P-Wave detection using deep learning in time and frequency domain for imbalanced dataset

Heliyon, 2021
Early tsunami and earthquake warning systems need a good Automatic First Arrival Picking (AFAP) subsystem to determine the earthquake arrival time.
Rhesa Aditya Sugondo, Carmadi Machbub
doaj   +3 more sources

Deep Learning in Time-Frequency Domain for Document Layout Analysis

IEEE Access, 2021
Document layout analysis plays an important role in the area of Document Understanding. It is responsible for identifying and classifying the different components of digital documents.
Felipe Grijalva, Erick Santos, Byron Acuna, Juan Carlos Rodriguez, Julio Cesar Larco   +4 more
doaj   +2 more sources

Frequency domain synthesis of trajectory learning controllers for robot manipulators [PDF]

Modeling, Identification and Control, 1993
Trajectory learning control is a method for generating near to optimal feedforward control for systems that are controlled along a reference trajectory in repeated cycles.
Tom Kavli
doaj   +2 more sources

Federated Learning Backdoor Attack Based on Frequency Domain Injection

Entropy
Federated learning (FL) is a distributed machine learning framework that enables scattered participants to collaboratively train machine learning models without revealing information to other participants. Due to its distributed nature, FL is susceptible
Jiawang Liu, Changgen Peng, Weijie Tan, Chenghui Shi   +3 more
doaj   +4 more sources

Learning Frequency Domain Priors for Image Demoireing [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Image demoireing is a multi-faceted image restoration task involving both moire pattern removal and color restoration. In this paper, we raise a general degradation model to describe an image contaminated by moire patterns, and propose a novel multi-scale bandpass convolutional neural network (MBCNN) for single image demoireing.
Bolun Zheng, Shanxin Yuan, Chenggang Yan 0001, Xiang Tian 0002, Jiyong Zhang 0001, Yaoqi Sun, Lin Liu 0016, Ales Leonardis, Gregory G. Slabaugh   +8 more
openaire   +3 more sources

Learning in the Frequency Domain [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Accepted to CVPR 2020; https://github.com/calmevtime ...
Kai Xu 0007, Minghai Qin, Fei Sun 0002, Yuhao Wang 0002, Yen-Kuang Chen, Fengbo Ren   +5 more
openaire   +2 more sources

Learning Convolutional Neural Networks in the Frequency Domain

CoRR, 2022
Submitted to NeurIPS ...
Hengyue Pan, Yixin Chen 0004, Xin Niu 0002, Wenbo Zhou, Dongsheng Li 0001   +4 more
openaire   +2 more sources

Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification

Remote Sensing, 2022
Hyperspectral remote sensing image (HSI) classification is very useful in different applications, and recently, deep learning has been applied for HSI classification successfully.
Jiangbo Xi, Okan K. Ersoy, Ming Cong, Chaoying Zhao, Wei Qu, Tianjun Wu   +5 more
doaj   +1 more source

A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions

Remote Sensing, 2022
Accurately detecting landslides over a large area with complex background objects is a challenging task. Research in the area suffers from three drawbacks in general.
Bo Yu, Ning Wang, Chong Xu, Fang Chen, Lei Wang   +4 more
doaj   +1 more source