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Found 5 papers, 1 papers with code
Trust in AI: Progress, Challenges, and Future Directions
The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective.
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
However, extracting IBIs from noisy signals is challenging since the morphology of the signal is distorted in the presence of the noise.
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
One key ingredient of DCNN-based FR is the appropriate design of a loss function that ensures discrimination between various identities.
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation
Compared with existing loss functions, the lower gradient of the proposed loss function leads to the convergence of SGD to a better optimum point, and consequently a better generalisation.
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions
However, in real-world surveillance scenarios, frequently no visual information will be available about the queried person.
