# Deep Kinship Verification via Appearance-shape Joint Prediction and Adaptation-based Approach

arXiv: https://arxiv.org/abs/1905.05964 · HTML: https://mlsanity.com/paper/1905.05964/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 May 2019.

## Built on by (most cited first, 3 of 3)

- [Kinship Verification Based on Cross-Generation Feature Interaction Learning](https://mlsanity.com/paper/2109.02809/) (2021)
- [Confidence-Calibrated Face and Kinship Verification](https://mlsanity.com/paper/2210.13905/) (2022)
- [Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation](https://mlsanity.com/paper/2109.02804/) (2021)

## Abstract (arXiv)

Kinship verification aims to identify the kin relation between two given face images. It is a very challenging problem due to the lack of training data and facial similarity variations between kinship pairs. In this work, we build a novel appearance and shape based deep learning pipeline. First we adopt the knowledge learned from general face recognition network to learn general facial features. Afterwards, we learn kinship oriented appearance and shape features from kinship pairs and combine them for the final prediction. We have evaluated the model performance on a widely used popular benchmark and demonstrated the superiority over the state-of-the-art.