Preserving fairness generalization in deepfake detection
Although effective deepfake detection models have been developed in recent years recent
studies have revealed that these models can result in unfair performance disparities among …
studies have revealed that these models can result in unfair performance disparities among …
Fine-Grained Few-Shot Image Classification Based on Feature Dual Reconstruction
S Liu, W Zhong, F Guo, J Cong, B Gu - Electronics, 2024 - search.proquest.com
Fine-grained few-shot image classification is a popular research area in deep learning. The
main goal is to identify subcategories within a broader category using a limited number of …
main goal is to identify subcategories within a broader category using a limited number of …