3 papers
cs.CV2025
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU
Zhuowen Zheng, Yain-Whar Si, Xiaochen Yuan +5
Nowadays, with the advancement of deep neural networks (DNNs) and the availability of large-scale datasets, the face recognition (FR) model has achieved exceptional performance. Ho…
cs.CV2024
FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
Xueyuan Gong, Zhiquan Liu, Yain-Whar Si +5
Computing power has evolved into a foundational and indispensable resource in the area of deep learning, particularly in tasks such as Face Recognition (FR) model training on large…
cs.CV2023
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang +5
Learning the discriminative features of different faces is an important task in face recognition. By extracting face features in neural networks, it becomes easy to measure the sim…