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...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Institute for Electrical and Electronics Engineers
2018
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