Semantic segmentation using GSAUNet
Sangita B. Nemade, Shefali P. Sonavane · ICT Express · 2022
Gabor filters well support computer vision tasks due to its steerable properties, that are useful for handling image transformation such as image rotation and image scaling. In this paper, the Gabor-based UNet (GSAUNet) model is proposed where the Gabor filters replace the few default filters in the UNet. Besides, it has adopted a squeeze-and-excitation module to increase channel interdependencies and attention mechanism to focus on an important part of the network. The performance of GSAUNet is assessed on the CamVid and Cityscape datasets that attain improvement for the semantic segmentation tasks.