most citedSemantically Accurate Super-Resolution Generative Adversarial Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Multi-Receptive Field Ensemble with Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection

Humza Naveed, Xina Zeng, Mitch Bryson +1

Remote sensing change detection (RSCD) is a complex task, where changes often appear at different scales and orientations. Convolutional neural networks (CNNs) are good at capturin…

cs.CV2022★ 1 cited

Semantically Accurate Super-Resolution Generative Adversarial Networks

Tristan Frizza, Donald G. Dansereau, Nagita Mehr Seresht +1

This work addresses the problems of semantic segmentation and image super-resolution by jointly considering the performance of both in training a Generative Adversarial Network (GA…