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Found 4 papers, 1 papers with code
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information.
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level
Every year millions of men, women and children are forced to leave their homes and seek refuge from wars, human rights violations, persecution, and natural disasters.
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
Our hypothesis is that the emotional state of a person -- how positive or pleasant an emotion is, and the control level of the situation by the person -- are powerful cues for perceiving potential human rights violations.
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?
We conduct a rigorous evaluation on a common ground by combining this dataset with different state-of-the-art deep convolutional architectures in order to achieve recognition of human rights violations.
