Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents

5 June 2023

Papers citing "Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents"

4 / 4 papers shown

Title
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration Marcos V. Conde Ui-Jin Choi Maxime Burchi Radu Timofte ViT 46 130 0 22 Sep 2022
SUNet: Swin Transformer UNet for Image Denoising Chi-Mao Fan Tsung-Jung Liu Kuan-Hsien Liu ViT 22 111 0 28 Feb 2022
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer Haonan Wang Peng Cao Jiaqi Wang Osmar R. Zaiane MedIm ViT 117 692 0 09 Sep 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 219 2,404 0 04 Jan 2021