File:Shuai 1026 DAG RNN Fig3.png

Figure 3: The architecture of the full labeling network, which consists of three functional layers: (1), convolution layer: it produces discriminative feature maps; (2), DAG-RNN: it models the contextual dependency among elements in the feature maps; (3), deconvolution layer: it upsamples the feature maps to output the desired sizes of label prediction maps. In: Bing Shuai, Zhen Zuo, Gang Wang, and Bing Wang (2016). "Dag-recurrent neural networks for scene labeling". In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3620-3629).