no code implementations • 8 Jul 2024 • Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Subsequently, the explanation framework conceives a new evaluation methodology that offers quantitative measurement and comparison of the performance of general visual saliency explanation methods in face recognition.
no code implementations • 7 Mar 2024 • Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Recent years have witnessed significant advancement in face recognition (FR) techniques, with their applications widely spread in people's lives and security-sensitive areas.
no code implementations • 1 Jun 2023 • Zewei Xu, Yuhang Lu, Touradj Ebrahimi
To further interpret the decision of an FR model, a novel visual saliency explanation algorithm has been proposed.
no code implementations • 15 May 2023 • Yuhang Lu, Zewei Xu, Touradj Ebrahimi
In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios.
1 code implementation • 24 Jan 2023 • Zanjia Tong, Yuhang Chen, Zewei Xu, Rong Yu
This allows WIoU to focus on ordinary-quality anchor boxes and improve the detector's overall performance.
no code implementations • 11 Nov 2021 • Xuechun Li, Xueyao Sun, Zewei Xu, Yifan Zhou
For the study of interpretability, we consider the attention weights distribution of single sentence and the attention weights of main aspect terms.
1 code implementation • 18 Apr 2020 • Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li
The incorporation of the double self-attention module has an average of 7\% improvement on the pre-class accuracy.