Cascaded LNet-ANet
Chinese University of Hong Kong (CUHK)Face detection
Developed by Chinese University of Hong Kong (CUHK) in 2014, Cascaded LNet-ANet is a face detection model.
About Cascaded LNet-ANet
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild. It cascades two CNNs, LNet and ANet, which are fine-tuned jointly with attribute ta
Details
- Provider
- Chinese University of Hong Kong (CUHK)
- Task
- Face detection
- Released
- 2014-11-28