A New AI Research Propose ‘UniFormer’ (Unified transFormer) to Unify Convolution and Self-Attention for Visual Recognition

Web: https://www.reddit.com/r/artificial/comments/shlqbo/a_new_ai_research_propose_uniformer_unified/

For visual recognition, representation learning is a crucial research area. Essentially, researchers are confronted with two separate issues in visual data, such as photographs and movies. On the one hand, there is a great deal of local redundancy; for example, visual material in a particular region (space, time, or space-time) is often comparable. Inefficient computation is frequently introduced by such localization. Global reliance, on the other hand, is complex; for example, objectives in various regions have dynamic relationships. Such long-distance …

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