Deep Contextual Recurrent Residual Networks for Scene Labeling

12 Apr 2017T. Hoang Ngan LeChi Nhan DuongLigong HanKhoa LuuMarios SavvidesDipan Pal

Designed as extremely deep architectures, deep residual networks which provide a rich visual representation and offer robust convergence behaviors have recently achieved exceptional performance in numerous computer vision problems. Being directly applied to a scene labeling problem, however, they were limited to capture long-range contextual dependence, which is a critical aspect... (read more)

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