10 citations · 11 across the 15 of their papers we have counts for
4 papers · 1 filter
Shift-Equivariant Complex-Valued Convolutional Neural Networks
Quentin Gabot, Teck-Yian Lim, Jérémy Fix +3
Convolutional neural networks have shown remarkable performance in recent years on various computer vision problems. However, the traditional convolutional neural network architect…
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs
Max Muzeau, Joana Frontera-Pons, Chengfang Ren +1
Due to its all-weather and day-and-night capabilities, Synthetic Aperture Radar imagery is essential for various applications such as disaster management, earth monitoring, change…
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks
José Agustin Barrachina, Chengfang Ren, Christèle Morisseau +2
In this paper, we investigated the semantic segmentation of Polarimetric Synthetic Aperture Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency matrix…
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
Max Muzeau, Chengfang Ren, Sébastien Angelliaume +2
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviat…