ReViT: Enhancing vision transformers feature diversity with attention residual connections
Anxhelo Diko, Danilo Avola, Marco Cascio, Luigi Cinque
Topics & Concepts
ResidualComputer scienceFeature (linguistics)Artificial intelligenceComputer visionTransformerPattern recognition (psychology)EngineeringAlgorithmElectrical engineeringLinguisticsVoltagePhilosophyAdvanced Neural Network ApplicationsCurrency Recognition and DetectionVisual Attention and Saliency Detection