A state-of-the-art of semantic change computation
Sign Up to like & getrecommendations! Published in 2018 at "Natural Language Engineering"
DOI: 10.1017/s1351324918000220
Abstract: Abstract This paper reviews the state-of-the-art of one emergent field in computational linguistics—semantic change computation. It summarizes the literature by proposing a framework that identifies five components in the field: diachronic corpus, diachronic word sense… read more here.
Keywords: change computation; semantic change; change; state art ... See more keywords
A transformer-based Siamese network and an open optical dataset for semantic change detection of remote sensing images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2022.2111470
Abstract: ABSTRACT Recent change detection (CD) methods focus on the extraction of deep change semantic features. However, existing methods overlook the fine-grained features and have the poor ability to capture long-range space–time information, which leads to… read more here.
Keywords: change detection; change; semantic change; transformer based ... See more keywords
Spatially and Semantically Enhanced Siamese Network for Semantic Change Detection in High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3159528
Abstract: Given a pair of bitemporal very high resolution (VHR) remote sensing images, the semantic change detection task aims to locate land surface changes and identify their semantic classes. The existing algorithms use independent branches to… read more here.
Keywords: change detection; remote sensing; change; semantically enhanced ... See more keywords
Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images
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DOI: 10.1109/tgrs.2021.3113912
Abstract: Given two multitemporal aerial images, semantic change detection (SCD) aims to locate the land-cover variations and identify their change types with pixelwise boundaries. This problem is vital in many earth vision-related tasks, such as precise… read more here.
Keywords: asymmetric siamese; semantic change; change; change detection ... See more keywords
A Deep Siamese Postclassification Fusion Network for Semantic Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3171067
Abstract: Semantic change detection (SCD) aims to recognize land cover transitions from remote sensing images of the given scene acquired at different times. The semantic change maps produced by SCD can provide not only the locations… read more here.
Keywords: fusion; fusion network; change; postclassification ... See more keywords