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Is a Green Screen Really Necessary for Real-Time Portrait Matting?
ZhanghanKe, KaicanLi, YurouZhou....
Published date-11/24/2020
ImageMatting, VIDEOMATTING
For portrait matting without the green screen, existing works either require auxiliary inputs that are costly to obtain or use multiple models that are computationally expensive. Consequently, they are unavailable …
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
JuntaoLi, RuidanHe, HaiYe....
Published date-11/23/2020
DomainAdaptation, LanguageModelling, MutualInformationEstimation, UnsupervisedDomainAdaptation
Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and low-resource tasks. Through training on one hundred languages and terabytes …
End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
CarlosMauricioVillegasBurgos, TianqiYang, NickVamivakas....
Published date-11/23/2020
Deep learning using Convolutional Neural Networks (CNNs) has been shown to significantly out-performed many conventional vision algorithms. Despite efforts to increase the CNN efficiency both algorithmically and with specialized hardware, …
A Learning-based Optimization Algorithm:Image Registration Optimizer Network
JiaWang, PingWang, BiaoLi....
Published date-11/23/2020
ImageRegistration
Remote sensing image registration is valuable for image-based navigation system despite posing many challenges. As the search space of registration is usually non-convex, the optimization algorithm, which aims to search …
LaHAR: Latent Human Activity Recognition using LDA
ZeydBoukhers, DannieneWete, SteffenStaab....
Published date-11/23/2020
ActivityRecognition, Clustering
Processing sequential multi-sensor data becomes important in many tasks due to the dramatic increase in the availability of sensors that can acquire sequential data over time. Human Activity Recognition (HAR) …
Studying Taxonomy Enrichment on Diachronic WordNet Versions
IrinaNikishina, AlexanderPanchenko, VarvaraLogacheva....
Published date-11/23/2020
Ontologies, taxonomies, and thesauri are used in many NLP tasks. However, most studies are focused on the creation of these lexical resources rather than the maintenance of the existing ones. …