17 citations · 27 across the 6 of their papers we have counts for
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cs.CV2022
Background Invariance Testing According to Semantic Proximity
Zukang Liao, Min Chen
In many applications, machine-learned (ML) models are required to hold some invariance qualities, such as rotation, size, and intensity invariance. Among these, testing for backgro…
cs.CV2021★ 17 cited
Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong +1
In this paper, we develop face.evoLVe -- a comprehensive library that collects and implements a wide range of popular deep learning-based methods for face recognition. First of all…