MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

no code implementations • 30 Nov 2023 • Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram

Deep neural networks have shown exemplary performance on semantic scene understanding tasks on source domains, but due to the absence of style diversity during training, enhancing performance on unseen target domains using only single source domain data remains a challenging task.

DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery

1 code implementation • Computer Vision and Pattern Recognition, Perception Beyond Visible Spectrum Workshop 2023 • Aniruddh Sikdar, Sumanth Udupa, Prajwal Gurunath, Suresh Sundaram

Experimental results on SpaceNet 6 dataset, on both EO and SAR modalities, and the INRIA dataset show that DeepMAO achieves state-of-the-art building segmentation performance, including small and complex-shaped buildings with a negligible increase in the parameter count.

Segmentation The Semantic Segmentation Of Remote Sensing Imagery