https://www.mdpi.com/2072-4292/12/10/1640
Spatial-Adaptive Siamese Residual Network for Multi-/Hyperspectral Classification
Deep learning methods have been successfully applied for multispectral and hyperspectral images classification due to their ability to extract hierarchical...
residual networkspatialadaptivesiamesemulti
https://deepai.org/publication/dn-resnet-efficient-deep-residual-network-for-image-denoising
DN-ResNet: Efficient Deep Residual Network for Image Denoising | DeepAI
Oct 16, 2018 - 10/16/18 - A deep learning approach to blind denoising of images without complete knowledge of the noise statistics is considered. We propose...
residual networkimage denoisingdnresnetefficient
https://www.preprints.org/manuscript/202507.0749
Energy Demand Forecasting Using Temporal Variational Residual Network[v1] | Preprints.org
The growing demand for efficient energy management has become essential for achieving sustainable development across social, economic, and environmental...
energy demandresidual networkforecastingusingtemporal
https://openreview.net/forum?id=EuLsakygiP&referrer=%5Bthe%20profile%20of%20Haoming%20Cai%5D(%2Fprofile%3Fid%3D~Haoming_Cai2)
Blueprint Separable Residual Network for Efficient Image Super-Resolution | OpenReview
Recent advances in single image super-resolution (SISR) have achieved extraordinary performance, but the computational cost is too heavy to apply in edge...
image super resolutionresidual networkblueprintseparableefficient
https://www.atlantis-press.com/proceedings/wartia-17/25885658
Face Recognition System Based on Deep Residual Network | Atlantis Press
With the development of social science and technology, people's awareness of the safety of life gradually high, face recognition technology has entered...
face recognition systemresidual networkbaseddeepatlantis
https://github.com/zhichao-lu/robust-residual-network
GitHub - zhichao-lu/robust-residual-network: Revisiting Residual Networks for Adversarial...
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective - zhichao-lu/robust-residual-network
residual networkgithublurobustrevisiting
https://www.mdpi.com/1424-8220/22/2/635
Human Activity Recognition Based on Residual Network and BiLSTM
Due to the wide application of human activity recognition (HAR) in sports and health, a large number of HAR models based on deep learning have been proposed....
human activity recognitionresidual networkbased
https://www.easychair.org/publications/preprint/TDvPL
Building a Satellite Image Classification Model with Residual Neural Network
building asatellite imageclassificationmodelresidual