---
license: mit
pipeline_tag: keypoint-detection
language:
- en
metrics:
- mse
datasets:
- WFLW
- AFLW
- COFW
- 300W
---
### Model Description

This model is designed for **facial landmark detection (face alignment)**, aiming to accurately localize landmarks under challenging conditions such as:

- Large pose variations  
- Occlusion  
- Illumination changes  

It is based on a Transformer-based architecture with boundary-aware and fine-grained multi-task balancing mechanisms.

The model achieves strong performance across multiple benchmark datasets.
This model is associated with the following paper: https://www.huggingface.co/papers/2601.12863
For a detailed description of the methodology, experiments and analysis, please refer to the paper page above.