Learning Low-shot facial representations via 2D warping
Shen Yan
TL;DR
This paper investigates how a 2D warping module can improve one-shot face recognition by enhancing low-shot facial representations.
Contribution
It introduces a 2D warping approach specifically designed to improve low-shot face recognition performance.
Findings
Enhanced recognition accuracy with 2D warping
Effective in low-data scenarios
Improves robustness of facial representations
Abstract
In this work, we mainly study the influence of the 2D warping module for one-shot face recognition.
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Taxonomy
TopicsFace recognition and analysis · Face and Expression Recognition · Gait Recognition and Analysis