Rethinking Monocular Height Estimation From a Classification Task Perspective Leveraging the Vision Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3222457
Abstract: Height estimation from a single remote sensing image has great potential in generating digital surface models (DSMs) efficiently for a quick Earth surface reconstruction. Recently, convolutional neural networks (CNNs) have emerged as a powerful method… read more here.
Keywords: estimation; classification task; bin subdivision; height estimation ... See more keywords
Acrophobia Quantified by EEG Based on CNN Incorporating Granger Causality
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065720500690
Abstract: The aim of this study is to quantify acrophobia and provide safety advices for high-altitude workers. Considering that acrophobia is a fuzzy quantity that cannot be accurately evaluated by conventional detection methods, we propose a… read more here.
Keywords: classification task; granger causality; method; causality ... See more keywords