Before revision:  In this paper, we propose CABiNet (Context Aggregated Bi-lateral Network) , a dual branch convolutional neural network (CNN) , with significantly lower computational costs as compared to the state-of-the-art, while maintaining a competitive prediction accuracy.
After revision:  In this paper, we propose Context Aggregation Network , a dual branch convolutional neural network (CNN) , with significantly lower computational costs as compared to the state-of-the-art, while maintaining a competitive prediction accuracy.