This AI Paper Introduces RMT: A Fusion of RetNet and Transformer, Pioneering a New Era in Computer Vision Efficiency and Accuracy

After debuting in NLP, Transformer was transferred to the sphere of computer vision, where it proved particularly effective. In contrast, the NLP community has recently become very interested in Retentive Network (RetNet), a design that can potentially replace Transformer. Chinese researchers have questioned whether or not applying the RetNet concept to vision will result in […]

The post This AI Paper Introduces RMT: A Fusion of RetNet and Transformer, Pioneering a New Era in Computer Vision Efficiency and Accuracy appeared …

accuracy ai paper ai shorts applications artificial intelligence become community computer computer vision contrast design editors pick efficiency fusion machine learning network nlp paper sphere staff tech news technology transformer vision