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Found 7 papers, 0 papers with code
Class Equilibrium using Coulomb's Law
Projection algorithms learn a transformation function to project the data from input space to the feature space, with the objective of increasing the inter-class distance.
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound
However, the lack of generalizability of existing defense algorithms and the high variability in the performance of the attack algorithms for different databases raises several questions on the effectiveness of the defense algorithms.
Unravelling Small Sample Size Problems in the Deep Learning World
However, there are a lot of \textit{small sample size or $S^3$} problems for which it is not feasible to collect large training databases.
Subclass Contrastive Loss for Injured Face Recognition
Deaths and injuries are common in road accidents, violence, and natural disaster.
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Firstly, we present the COVID-19 Multi-Task Network which is an automated end-to-end network for COVID-19 screening.
Data Fine-tuning
Stimulated by the advances in adversarial perturbations, this research proposes the concept of Data Fine-tuning to improve the classification accuracy of a given model without changing the parameters of the model.
Anonymizing k-Facial Attributes via Adversarial Perturbations
A face image not only provides details about the identity of a subject but also reveals several attributes such as gender, race, sexual orientation, and age.
