Abstract:

Recently, the combination of CNNs and ViTs has shown to be a promising strategy to tackle challenging scenarios in the computer vision domain. This work proposes a Unified Deep Learning Architecture that combines the local feature extraction strength of CNNs with the global context modeling power of