PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering [PDF]
Computer Vision and Pattern Recognition, 2021 We present a new framework for semantic segmentation without annotations via clustering. Off-the-shelf clustering methods are limited to curated, single-label, and objectcentric images yet real-world data are dominantly uncurated, multi-label, and scene ...
Jang Hyun Cho +3 more
semanticscholar +1 more source
Disponibilidad léxica en diferentes niveles de español/lengua extranjera
Studia Romanica Posnaniensia, 2014 The objective of this study is to present the lexical availability in Slovene students of Spanish FL through the application of lexico-statistical methodology.
Marjana Šifrar Kalan
doaj +1 more source
Semantic Embedding Space for Zero-Shot Action Recognition [PDF]
, 2015 The number of categories for action recognition is growing rapidly. It is thus becoming increasingly hard to collect sufficient training data to learn conventional models for each category.
Gong, Shaogang +2 more
core +1 more source
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Semantic change detection (SCD) refers to the task of simultaneously extracting changed areas and their semantic categories (before and after the changes) in remote sensing images (RSIs).
L. Ding +5 more
semanticscholar +1 more source
BMC Medical Informatics and Decision Making, 2021 Background Semantic categorization analysis of clinical trials eligibility criteria based on natural language processing technology is crucial for the task of optimizing clinical trials design and building automated patient recruitment system.
Hui Zong +4 more
doaj +1 more source
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 We study universal zero-shot segmentation in this work to achieve panoptic, instance, and semantic segmentation for novel categories without any training samples.
Shuting He, Henghui Ding, Wei Jiang
semanticscholar +1 more source
Semantic Categories of Reporting Verbs across Four Disciplines in Research Articles
, 2019 This paper investigates semantic categories of reporting verbs across four disciplines: Accounting, Applied Linguistics, Engineering and Medicine in research article genre.
S. Uba
semanticscholar +1 more source
Semantic-Aware Domain Generalized Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 Deep models trained on source domain lack generalization when evaluated on unseen target domains with different data distributions. The problem becomes even more pro-nounced when we have no access to target domain samples for adaptation.
Duo Peng +4 more
semanticscholar +1 more source
LA BASE AÏN ET SES CARACTÉRISANTS DANS LA TOPONYMIE OFFICIELLE : LES NOMS DES COMMUNES D’ALGÉRIE / THE AÏN BASE AND ITS CHARACTERISTICS IN THE OFFICIAL TOPONYMY: THE NAMES OF THE COMMUNES OF ALGERIA [PDF]
Studii si Cercetari Filologice: Seria Limbi Straine Aplicate, 2021 This contribution tries to respond to the issue of the official name of municipalities. We have chosen to work on the Aïn base and its characterizers in order to identify the semantic categories to which they belong, through the languages implemented in ...
Soufiane LANSEUR
doaj
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Semantic change detection (SCD) extends the multiclass change detection (MCD) task to provide not only the change locations but also the detailed land-cover/land-use (LCLU) categories before and after the observation intervals. This fine-grained semantic
L. Ding +5 more
semanticscholar +1 more source