Dense decoder shortcut connections for single-pass semantic segmentation

We propose a novel end-to-end trainable, deep, encoder-decoder architecture for single-pass semantic segmentation. Our approach is based on a cascaded architecture with feature-level long-range skip connections. The encoder incorporates the structure of ResNeXt's residual building blocks and ad...

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书目详细资料
Main Authors: Bilinski, P, Prisacariu, V
格式: Conference item
语言:English
出版: Institute for Electrical and Electronics Engineers 2018