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Visual Transformers in Media Survey by Miftah is a document available to read on EtoBox.

What is Visual Transformers in Media Survey about?

This survey reviews the application of transformers in computational visual media, highlighting their advantages over traditional convolutional neural networks (CNNs) in modeling long-range relationships and improving performance in various vision tasks. The paper categorizes recent advancements in visual transformers across four main areas: backbone design, high-level vision, low-level vision and generation, and multimodal learning, providing detailed comparisons and insights into the latest methodologies.

Author

Miftah

Language

EN