3 papers
eess.IV2026
Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks
Quentin Gabot, Joana Frontera-Pons, Jérémy Fix +2
The inherently complex-valued nature of Polarimetric SAR data necessitates using specialized algorithms capable of directly processing complex-valued representations. However, this…
cs.CV2025
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…
cs.CV2025
PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification
Salim Khazem, Jeremy Fix, Cédric Pradalier
Deep learning models have achieved significant success in various image related tasks. However, they often encounter challenges related to computational complexity and overfitting.…