Abstract

Recently, research based on transformers has become a hot topic. Owing to their ability to capture long-range dependencies, transformers have been rapidly adopted in the field of computer vision for processing image and video data. Despite their widespread adoption, the application of transformer in computer vision such as semantic segmentation, image generation and image repair are still lacking. To address this gap, this paper provides a thorough review and summary of the latest research findings on the applications of transformers in these areas, with a focus on the mechanism of transformers and using ViT (Vision Transformer) as an example. The paper further highlights recent or popular discoveries of transformers in medical scenarios, image generation, and image inpainting. Based on the research, this work also provides insights on future developments and expectations.

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