# Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

arXiv: https://arxiv.org/abs/1710.00977 · HTML: https://mlsanity.com/paper/1710.00977/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Oct 2017.

## Built on by (most cited first, 1 of 1)

- [Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks](https://mlsanity.com/paper/2205.07121/) (2022)

## Abstract (arXiv)

Facial Key Points (FKPs) Detection is an important and challenging problem in the fields of computer vision and machine learning. It involves predicting the co-ordinates of the FKPs, e.g. nose tip, center of eyes, etc, for a given face. In this paper, we propose a LeNet adapted Deep CNN model - NaimishNet, to operate on facial key points data and compare our model's performance against existing state of the art approaches.