16 citations · 16 across the 4 of their papers we have counts for
4 papers
MSConv: Multiplicative and Subtractive Convolution for Face Recognition
Si Zhou, Yain-Whar Si, Xiaochen Yuan +5
In Neural Networks, there are various methods of feature fusion. Different strategies can significantly affect the effectiveness of feature representation, consequently influencing…
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…
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Xueyuan Gong, Yain-Whar Si, Yongqi Tian +3
Time-series classification approaches based on deep neural networks are easy to be overfitting on UCR datasets, which is caused by the few-shot problem of those datasets. Therefore…
Dunhuang Grottoes Painting Dataset and Benchmark
Tianxiu Yu, Shijie Zhang, Cong Lin +5
This document introduces the background and the usage of the Dunhuang Grottoes Dataset and the benchmark. The documentation first starts with the background of the Dunhuang Grotto,…