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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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 6596 - 6605
Main Authors:	Bilinski, Piotr, Prisacariu, Victor
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Architecture Computer architecture Decoding Fuses Image segmentation Semantics Spatial resolution
ISSN:	1063-6919
Online Access:	Get full text
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