Feb 13, 2023 · In this paper, we propose a novel Concentric Ring Loss (CRL) to encourage the model to learn intra-class compressed and inter-class separated ...

In this paper, we propose a Concentric Ring Loss (CRL) that aims to promote the learning of compressed intra-class features and separated inter-class features ...

In this paper, we propose a Concentric Ring Loss (CRL) that aims to promote the learning of compressed intra-class features and separated inter-class features ...

With the supervision of CRL, the model learns an embed- ding space where natural faces are clustered around one side of the concentric ring space with a smaller ...

In this paper, we proposed the Concentric Ring Loss (CRL) to enhance the model's discriminative power and generaliza- tion capacity, which would be a ...

conduct extensive experiments to evaluate the performance of 13 well-known language and multimodal models on the task of detecting fake images and explore how ...

Jun 11, 2024 · This work specifically focuses on facial deepfakes. It covers various facial manipulations such as face swapping, attribute editing, and face reenactment.

A novel single-center loss (SCL) is designed that only compresses intra-class variations of natural faces while boosting inter-class differences in the ...

Concentric Ring Loss for Face Forgery Detection. Conference Paper. Dec 2023.

This repository provides a comprehensive investigation of advanced single-modal and multi-modal deepfake detection.