Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
2017-10-03Code Available0· sign in to hype
Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas
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ReproduceCode
- github.com/Anaststam/Facial-Keypoints-detectionpytorch★ 0
- github.com/shinyingl/CV_Facial_Keypointspytorch★ 0
- github.com/raunak222/Facial-Keypoint-Detectionpytorch★ 0
- github.com/ken-power/CVND-FacialKeypointDetectionpytorch★ 0
- github.com/JulianHohenadel/I2Deep-Learningpytorch★ 0
- github.com/anitagold/30-days-of-Udacitypytorch★ 0
- github.com/mosmos/face_key_point_detectionpytorch★ 0
- github.com/am-sirdaniel/Facial_Keypoint_Detectionpytorch★ 0
- github.com/anasbadawy/Facial-Keypoint-Detectionnone★ 0
- github.com/joehoeller/Computer-Vision-Facial-Key-Point-Detectionpytorch★ 0
Abstract
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 13.8 | Djehutynakht | 0..5sec | 0 | — | Unverified |