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20172021
most citedDeep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery

70 citations · 128 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.CV2021

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance

Roberto Olmos, Siham Tabik, Francisco Perez-Hernandez +2

Despite the constant advances in computer vision, integrating modern single-image detectors in real-time handgun alarm systems in video-surveillance is still debatable. Using such…

cs.CV2021

CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study

Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou +2

The detection of critical infrastructures in large territories represented by aerial and satellite images is of high importance in several fields such as in security, anomaly detec…

cs.CV202017 cited

FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations

Manuel Rey-Area, Emilio Guirado, Siham Tabik +1

It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i.e., the network becomes highly biased to the data it has been trained on. This iss…

cs.CV2019

Deep Learning in Video Multi-Object Tracking: A Survey

Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik +3

The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep Learn…

cs.CV2018

Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation

Anabel Gómez-Ríos, Siham Tabik, Julián Luengo +3

The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in…

cs.CV201770 cited

Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery

Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura +2

There is a growing demand for accurate high-resolution land cover maps in many fields, e.g., in land-use planning and biodiversity conservation. Developing such maps has been perfo…