Sarıtürk, B. And Şeker, D. Z. 2022. A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images. SENSORS , vol.22, no.19 .

Sarıtürk, B., & Şeker, D. Z., (2022). A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images. SENSORS , vol.22, no.19.

Sarıtürk, Batuhan, And Dursun Zafer Şeker. "A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images," SENSORS , vol.22, no.19, 2022

Sarıtürk, Batuhan And Şeker, Dursun Z. . "A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images." SENSORS , vol.22, no.19, 2022

Sarıtürk, B. And Şeker, D. Z. (2022) . "A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images." SENSORS , vol.22, no.19.

@article{article, author={Batuhan Sarıtürk And author={Dursun Zafer Şeker}, title={A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images}, journal={SENSORS}, year=2022}