Discriminative feature learning and region consistency activation for robust scene labeling
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.019
Abstract: This paper presents a learned feature based framework for both outdoor and indoor scene labeling. This framework is combined with a discriminative feature learning process to produce the posteriors of every pixel and a novel… read more here.
Keywords: feature learning; scene; discriminative feature; scene labeling ... See more keywords
Fast scene labeling via structural inference
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DOI: 10.1016/j.neucom.2020.12.134
Abstract: Abstract Scene labeling or parsing aims to assign pixelwise semantic labels for an input image. Existing CNN-based models cannot leverage the label dependencies, while RNN-based models predict labels within the local context. In this paper,… read more here.
Keywords: based models; scene; structural inference; scene labeling ... See more keywords
Tree-Structured Models for Efficient Multi-Cue Scene Labeling
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DOI: 10.1109/tpami.2016.2592911
Abstract: We propose a novel approach to semantic scene labeling in urban scenarios, which aims to combine excellent recognition performance with highest levels of computational efficiency. To that end, we exploit efficient tree-structured models on two… read more here.
Keywords: structured models; tree; multi cue; scene labeling ... See more keywords