# Analyzing the effectiveness of image augmentations for face recognition from limited data

arXiv: https://arxiv.org/abs/2105.08796 · HTML: https://mlsanity.com/paper/2105.08796/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 15 of its 36 references that are in the map.
- First posted on arXiv 18 May 2021.

## Builds on (most cited first, 15 of 15)

- [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://mlsanity.com/paper/1503.03832/) (2015)
- [Random Erasing Data Augmentation](https://mlsanity.com/paper/1708.04896/) (2017)
- [MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition](https://mlsanity.com/paper/1607.08221/) (2016)
- [Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization](https://mlsanity.com/paper/1710.05179/) (2017)
- [Semi-Supervised and Task-Driven Data Augmentation](https://mlsanity.com/paper/1902.05396/) (2019)
- [APAC: Augmented PAttern Classification with Neural Networks](https://mlsanity.com/paper/1505.03229/) (2015)
- [STaDA: Style Transfer as Data Augmentation](https://mlsanity.com/paper/1909.01056/) (2019)
- [Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation](https://mlsanity.com/paper/2010.05119/) (2020)
- [Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification](https://mlsanity.com/paper/1907.10655/) (2019)
- [Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis](https://mlsanity.com/paper/1703.03702/) (2017)
- [PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing](https://mlsanity.com/paper/2007.05892/) (2020)
- [Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks](https://mlsanity.com/paper/1709.01421/) (2017)
- [Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair](https://mlsanity.com/paper/1910.00368/) (2019)
- [SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation](https://mlsanity.com/paper/1904.00365/) (2019)
- [Data-specific Adaptive Threshold for Face Recognition and Authentication](https://mlsanity.com/paper/1810.11160/) (2018)

## Abstract (arXiv)

This work presents an analysis of the efficiency of image augmentations for the face recognition problem from limited data. We considered basic manipulations, generative methods, and their combinations for augmentations. Our results show that augmentations, in general, can considerably improve the quality of face recognition systems and the combination of generative and basic approaches performs better than the other tested techniques.