Cargando…
NRA-Net—Neg-Region Attention Network for Salient Object Detection with Gaze Tracking
In this paper, we propose a detection method for salient objects whose eyes are focused on gaze tracking; this method does not require a device in a single image. A network was constructed using Neg-Region Attention (NRA), which predicts objects with a concentrated line of sight using deep learning...
Autores principales: | Kim, Hoijun, Kwon, Soonchul, Lee, Seunghyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961694/ https://www.ncbi.nlm.nih.gov/pubmed/33806263 http://dx.doi.org/10.3390/s21051753 |
Ejemplares similares
-
Optimization of Deep Learning Parameters for Magneto-Impedance Sensor in Metal Detection and Classification
por: Kim, Hoijun, et al.
Publicado: (2023) -
Neural Network for Metal Detection Based on Magnetic Impedance Sensor
por: Ha, Sungjae, et al.
Publicado: (2021) -
Feature Refine Network for Salient Object Detection
por: Yang, Jiejun, et al.
Publicado: (2022) -
On the Distribution of Salient Objects in Web Images and Its Influence on Salient Object Detection
por: Schauerte, Boris, et al.
Publicado: (2015) -
Salient region detection through salient and non-salient dictionaries
por: Fareed, Mian Muhammad Sadiq, et al.
Publicado: (2019)