# Face Detection using Deep Learning: An Improved Faster RCNN Approach

arXiv: https://arxiv.org/abs/1701.08289 · HTML: https://mlsanity.com/paper/1701.08289/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jan 2017.

## Built on by (most cited first, 16 of 16)

- [Latent Space Smoothing for Individually Fair Representations](https://mlsanity.com/paper/2111.13650/) (2021)
- [Towards Task Sampler Learning for Meta-Learning](https://mlsanity.com/paper/2307.08924/) (2023)
- [Going Deeper Into Face Detection: A Survey](https://mlsanity.com/paper/2103.14983/) (2021)
- [FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition](https://mlsanity.com/paper/2206.15056/) (2022)
- [DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection](https://mlsanity.com/paper/2203.09121/) (2022)
- [ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN](https://mlsanity.com/paper/2307.13746/) (2023)
- [PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets](https://mlsanity.com/paper/2403.19893/) (2024)
- [Simultaneous face detection and 360 degree headpose estimation](https://mlsanity.com/paper/2111.11604/) (2021)
- [Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement](https://mlsanity.com/paper/2403.16184/) (2024)
- [Wide Aspect Ratio Matching for Robust Face Detection](https://mlsanity.com/paper/2103.05993/) (2021)
- [Bounding-box deep calibration for high performance face detection](https://mlsanity.com/paper/2110.03892/) (2021)
- [Deep learning for identification and face, gender, expression recognition under constraints](https://mlsanity.com/paper/2111.01930/) (2021)
- [Fast Eye Detector Using Siamese Network for NIR Partial Face Images](https://mlsanity.com/paper/2202.10671/) (2022)
- [Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection](https://mlsanity.com/paper/2203.00869/) (2022)
- [Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning](https://mlsanity.com/paper/2406.00135/) (2024)
- [EPANet: Efficient Path Aggregation Network for Underwater Fish Detection](https://mlsanity.com/paper/2508.00528/) (2025)

## Abstract (arXiv)

In this report, we present a new face detection scheme using deep learning and achieve the state-of-the-art detection performance on the well-known FDDB face detetion benchmark evaluation. In particular, we improve the state-of-the-art faster RCNN framework by combining a number of strategies, including feature concatenation, hard negative mining, multi-scale training, model pretraining, and proper calibration of key parameters. As a consequence, the proposed scheme obtained the state-of-the-art face detection performance, making it the best model in terms of ROC curves among all the published methods on the FDDB benchmark.