Anchorfree Logo Detection Framework

This chapter discusses attention mechanism-based anchorfree logo detection framework and lightweight CNNs modules. To perform precise and efficient logo detection, we propose a framework, LogoNet, which consist of a robust feature extraction network with spatial and channel attention modules and an anchorfree detection head. We investigate novel attention mechanisms and a layer-aggregated hourglass style feature extraction CNNs backbone network for logo detection. The proposed spatial and channel attention modules improve detection accuracy by enhancing attention to identify logo regions. This chapter also discusses a fast and lightweight CNNs module architecture for practical use of the logo detection framework. The lightweight CNNs module reduces the number of network parameters as well as the computational cost of the network while maintaining performance.