Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images

Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images

Identifying potential abuses of human rights through imagery is a novel and challenging task in the field of computer vision, which will enable to expose human rights violations over large-scale data that may otherwise be impossible. While standard databases for object and scene categorization conta...

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Bibliographic Details
Main Authors: Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Maria Fasli, Klaus D. McDonald-Maier
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Computer vision
image interpretation
visual recognition
convolutional neural networks
human rights abuses recognition
Online Access:https://ieeexplore.ieee.org/document/8606079/

Internet

https://ieeexplore.ieee.org/document/8606079/

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