DCNN
University of MarylandRutgers UniversityFace verification
Developed by University of Maryland,Rutgers University in 2015, DCNN is a face verification model with 5006000.0 parameters.
About DCNN
In this paper, we present an algorithm for unconstrained face verification based on deep convolutional features and evaluate it on the newly released IARPA Janus Benchmark A (IJB-A) dataset. The IJB-A dataset includes real-world unconstrained faces f
Details
- Provider
- University of Maryland,Rutgers University
- Task
- Face verification
- Parameters
- 5006000.0
- Released
- 2015-08-07
- Open weights
- No