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Found 7 papers, 3 papers with code
Quadruplet Loss For Improving the Robustness to Face Morphing Attacks
Recent advancements in deep learning have revolutionized technology and security measures, necessitating robust identification methods.
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection
The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for enhanced recognition.
Neural Implicit Morphing of Face Images
This task consists of a warping for feature alignment and a blending for a seamless transition between the warped images.
Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
Several face recognition experiments are presented to demonstrate the performance of the proposed data tool set.
MorDeephy: Face Morphing Detection Via Fused Classification
Our method, which we call MorDeephy, achieved the state of the art performance and demonstrated a prominent ability for generalising the task of morphing detection to unseen scenarios.
Reducing Overconfidence Predictions for Autonomous Driving Perception
In state-of-the-art deep learning for object recognition, SoftMax and Sigmoid functions are most commonly employed as the predictor outputs.
Bio-Inspired Modality Fusion for Active Speaker Detection
Furthermore, neuroscience has successfully identified the superior colliculus region in the brain as the one responsible for this modality fusion, with a handful of biological models having been proposed to approach its underlying neurophysiological process.
