In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).
The proposed loss function, termed as mutual-channel loss (MC-Loss), consists of two channel-specific components: a discriminality component and a diversity component.
#10 best model for Fine-Grained Image Classification on FGVC Aircraft
The aim of this paper is to give an overview of domain adaptation and transfer learning with a specific view on visual applications.
Computer vision systems for automatic image categorization have become accurate and reliable enough that they can run continuously for days or even years as components of real-world commercial applications.